page 1 of 109 - imune
TRANSCRIPT
Page 2 of 109
Contents
TVEP and Electro-Physiological-Reactivity with Eductor 2015
.................................................................................................................................................................... 10
Abstract: ...................................................................................................................................................... 11
Brief History: ............................................................................................................................................... 13
Method: ...................................................................................................................................................... 14
Results: .................................................................................................................................................. 15
Relevance rated 1 low to 5 high .......................................................................................................... 15
White Paper on Transcutaneous Voltammetric Evoked Potential (TVEP) and the Quantum Quality
Control Process (QQC) ................................................................................................................................ 20
References: ................................................................................................................................................. 25
TVEP Literature Review and 2014 New Research ....................................................................................... 35
STUDY INFORMATION ............................................................................................................................. 35
SPONSOR ................................................................................................................................................. 35
MONITOR ................................................................................................................................................ 35
Abstract: .................................................................................................................................................. 35
CLINICAL LITTERATURE REVIEW: ............................................................................................................. 35
QED TVEP Biofeedback, Gut Dysbiosis & Hypomonocytosis Clinical SOAP Correlation Study ................... 44
Introduction: ........................................................................................................................................... 47
Method: .................................................................................................................................................. 47
Repeatability DATA: ................................................................................................................................ 48
Conclusions of Repeatable Validity: ........................................................................................................ 49
Family TVEP Data 2011 study: ................................................................................................................ 49
Conclusions of Family TVEP Validity: ...................................................................................................... 51
Spatial Acuity and Prey Detection in Weakly Electric Fish .......................................................................... 56
Review of the literature of methods of SCIO transcutaneous voltammetric evoked potential (TVEP) ..... 71
Call for papers ........................................................................................................................................... 109
Page 3 of 109
“Yes Carl my friend, incredible claims needs incredible, vast, decade’s old,
scientific, double blind, clinical and time tested evidence. There have been many
medication testing theories and devices proven false and some devices like the
Russian headphone laser, muscle testing and point probe devices are proven
fraudulent. There is a 50 year old plus proven electro-chemical science of
Voltammetry that requires electrodes to detect the electronic signature of an
item. This cannot be done thru a bottle. Even a spectroscope cannot detect well
thru a bottle. The science of Transcutaneous Voltammetric Evoked Potential
(TVEP) has over 30 years of scientific valid testing. And now in 2014-2015 we
have retested TVEP and revalidated the process. Here is a journal of the 2015
clinical studies. “ IJMSHNEM Doctor of Sociology Brad V Johnson
Page 7 of 109
Please Read: http://qqc-electronic-tongue.com/
http://indavideo.hu/video/Clinical_Evaluation_of_the_QQC_Electronic_Tongue
http://indavideo.hu/video/Medication_Testing_for_Dummies http://qqc-electronic-
tongue.com/useruploads/files/an_electronic_tongue_based_on_voltammetry_review_of_articles.pdf
Page 8 of 109
IJMSHNEM Ethics Supervisor & Institutional Director: Dr. of Sociology Brad Victor
Johnson, Dean of the International Medical University of Natural Education -- IMUNE
Editorial Consultant: Alejandro Arregui Henk, Argentina,
IJMSHNEM Associates:
Alejandro Arregui Henk, Argentina, - Chris King, - Dr Igor Cetojevic, Cyprus- Dr Bill
Cunningham, USA, - Dr. Kofi Ghartey, Africa, - Dr. Amanda Velloen, South Africa, -Dr.
Danis Gyorgy MD, Hungary, --Dr. Debbie Drake, M.D., Canada, - Dr. Sarca Ovidiu, M.D.,
Romania, --Andreea Taflan, --Dr. Steve Small, USA, -- Dr Pauline Wills, USA, -- Bala Lodhia,
Canada, --Anna Marie Stinton, Romania, --Dr. Gulyas Kinga, Hungary, -- Dr. Aurel Bacean,
M.D., Romania, --Dr. Oana Bacean, M.D., Romania, --Dr. Theron Francois, M.D., South
Africa, --Turako Yuy, Homeopath, Japan, -- Dr. Ho, M.D., China, --Gage Tarant, Dr.Marco,
Antonio, Rodriguez Infante, Mexico, - Dr. Alex Von Pelet, Germany, -- Dr. Hilf Klara MD
Hungary, -- Dr. Bacean Aurel MD, Romania, --Dr. Gebhard Gerhing MD, Bavaria, Dr.
Hobian Veronica, Romania.
Welcome to our first journal of 2015. The company Biofeedback srl has been accepted by a new ethics
committee as indicated by the next letter. The studies published in this journal have all been under the
scrutiny and supervision of this ethics committee. All of the studies in this journal have had ethics
supervision of institutional review boards or the like. And we welcome this new ethics review board to
our team of research associates.
This journal will have articles about GSRtDCs electro stimulation to help insight, hormone, erection,
chess ability, memory, focus, learning among others. Stories and details of Alzheimer’s are also
contained. Please see, read, review and consider the call for papers in the back of this journal. We wish
to broaden our knowledge of natural and energetic medicine.
Brad Victor Johnson
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TVEP and Electro-Physiological-Reactivity
with Eductor 2015 Supervising Researchers and Medical Review Staff: Dr Klara Hilf, Dr. Marco,
Antonio, Rodriguez Infante, Dr. Hobian Veronica and Dr. Maria Baicu
Therapist: Rita Nemenyi, IMUNE Qualified GSRtDCs Research Technician
Permission of the Ethic Committee of the National Institute of Recovery Physical
Medicine and Balneo-Climatology, Bucharest, Romania
Institution: International Medical University
Sponsor: Biofeedback Srl
Dates: Feb, 27, 2015 Place: Budapest, Hungary
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Abstract: As we have shown everything is an energetic collection of fields that hold atoms in their places. These
fields that make us up are reactive with the environment. We must decide what is appropriate to eat
and what to avoid. This education starts at the earliest of ages. Most of our current biological electro
detection of what is good or bad for us takes place in the nasal-pharynx between smell and taste. The
shape receptors of the smell and taste buds are electronic voltammetric field detectors. They sense a
proper voltammetric fields that says it is good for nutrition or what is bad. The taste receptors do not
absorb or metabolize the nutrient they only test it for intake by measuring the shape of the fields with
the shape receptors of the tongue. Voltammetry is the science of analysis of the electrical fields of a
substance.
We have shown the patent for the process of the QQC voltammetric analyzer. This device has been
designed to work like the human tongue and to recognize the voltammetric signatures of items. These
signatures are maintained as a 22x22x22 matrix of 10,648 separate shape vectors that constitute one
signature. Since these fields reflect shapes they have a 3 Dimensional component and are referred to as
the trivector voltammetric signatures. These complex signatures can be amplified and inputted into the
body as part of the Xrroid process in the EPFX, SCIO, Indigo, or what is now known as the Eductor.
The Xrroid analysis is where the SCIO device measures the reaction of the body to over 10,000
substances at the calibrated speed of the body reaction. During the calibration of the SCIO device to the
subject the device will measure the voltammetric field of the patient and then send in the QQC. Then
the voltammetric signature of what is generally known as the weakest reactive substance (distilled
water) is sent in over 20 times and the highest known reactive substance combination is sent in 4 times.
The starting speed is 103rd of a second. If the subject does not react significantly to the reactive
substance versus the non-reactive distilled water the speed is reset minus one to 102nd of a second. The
speed drops in this increment till the subject has a significant reaction to the reactive substances and it
is repeatable. This then gives us a measure of the speed the subject reacts to items. Research in the
1980s showed that patients on morphine reacted much slower to norm patients. Then a variety of
reactive speeds was shown thus making a speed of reactivity calibration need for proper testing.
There are several factors that can interfere with the testing of reactivity. If we test and test an item over
and over there is adaptation. An aberrant movement, electrical wave form, or a brain wave surge can
affect a reading. So we have seen that the reading of reactivity to a single item is not as significant as we
would like. Till we could put a subject into a Faraday cage and perfectly control mental aberrations it is
not likely. But we have seen that if we measure family reactions we can get some good insight into the
reactivity fields of a subject. Research has shown that these families that we use to develop risk profiles
are worth medical attention. In this review over one hundred thousand subject studies have verified the
TVEP reactive families and the risk profiles have resulted from this work.
In this study over one hundred subjects were measured for Xrroid analysis on either a normal setting or
a placebo setting. This was done to validate the TVEP validity and show that on normal setting there
would be much more replication of data.
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Proper Ethics committee and IRB were used and informed consent from subjects. The study took place
in Europe and in America. Subjects were asked to do several measures of their wellness and they were
measured for their Xrroid reactivity profiles before and after the test. Repeated items were counted in
placebo versus real testing.
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Introduction: IT IS OUR BASIC HYPOTHESIS THAT A SMALL DC PULSED MICRO-CURRENT VOLTAMMETRIC PATTERN
APPLIED TO THE BODY CAN STIMULATE A REACTIVITY REACTION. THIS REACTIVITY MAY INDICATE A
POSITIVE REACTION TO A NUTRIENT OR A NEGATIVE REACTION TO A TOXIN. THIS EFFECT CAN BE
MAXIMIZED WITH AN AUTOFOCUSED CYBERNETIC PULSE. THIS HAS BEEN PROVEN WITH THE EPFX,
QXCI, SCIO, EDUCTOR AND A HOST OF OTHER RESEARCHERS HAVE MADE SUCH TECHNOLOGY. NOW WE
ARE TESTING THE NEWEST ADVANCE THE EDUCTOR WHICH HAS AN EXTRA TWO SIGNAL GENERATORS.
WE FIRST USE THE EDUCTOR DEVICE TO MEASURE THE BODY ELECTRIC FOR VOLTAGE, AMPERAGE,
RESISTANCE, HYDRATION, OXIDATION AND ACID ALKALINE BALANCE PLUS OUTPUT OF DISSIMILAR
CONDUCTION MATERIALS. AND ONCE WE KNOW THE BODY ELECTRIC FACTORS WE CAN APPLY AN
APPROPRIATE TAILORED ELECTRO-POTENTIAL SIMILAR SIGNAL TO THE BODY. THEN WE MEASURE THE
ELECTRO RESPONSE AND USE IT TO MAKE THE NEXT STIMULATION. THIS MAKES AN AUTO FOCUSED
CYBERNETIC LOOP WHERE THE BODY ELECTRIC CAN GUIDE THE DEVELOPMENT OF THE STIMULATION
OF THE SYNAPTIC FUNCTION. THIS HAS BEEN SHOWN TO BE ABLE TO INCREASE MENTAL ACUITY.
WE CAN CALIBRATE THE REACTION TIME OF A PERSON TO KNOW HIGH AND LOW REACTIVITY
SUBSTANCES. ONCE WE KNOW THE BASIC BODY ELECTRIC LEVELS AND REACTIVITY SPEED, WE CAN
BEGIN TO MEASURE REACTIVITY. BY APPLYING A VOLTAMMETIC SIGNATURE AND THEN MEASURING
THE BODY GSR REACTION. IN THIS STUDY WE WISH TO FURTHER TEST THIS HYPOTHESIS.
Brief History: Micro-current Cranial Electro Stimulation MCES is a new advance in Cranial Electro Stimulation CES and
energetic medicine. "Electrotherapy" has been in use for over 2000 years, as shown by the clinical
literature of the early Roman physician, Scribonius Largus, who wrote in the Compositiones Medicae of
46 AD that his patients should stand on a live black torpedo fish for the relief of a variety of medical
conditions, including gout and headaches. Claudius Galen (131 - 201 AD) also suggested using the shocks
from the electrical fish for medical therapies. There is evidence of electro-therapy in ancient Babylon
and Egypt. The body works on electro signals and electro stimulation of low current helps homeostatsis.
Low intensity electrical stimulation is believed to have originated in the studies of galvanic currents in
humans and animals as conducted by Giovanni Aldini, Alessandro Volta and others in the 18th
century, Aldini had experimented with galvanic head current as early as 1794 (upon himself) and
reported the successful treatment of patients suffering from melancholia depression using direct low-
intensity currents in 1804.
Modern research into low intensity electrical stimulation of the brain was begun by Leduc and Rouxeau
in France (1902). In 1949, the Soviet Union expanded research of CES to include the treatment
of anxiety as well as sleeping disorders.
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In the 1960s and 1970s, it was common for physicians and researchers to place electrodes on the eyes,
thinking that any other electrode site would not be able to penetrate the cranium. It was later found
that placing electrodes on the forehead was far more convenient, and quite effective.
CES was initially studied for insomnia and called electro-sleep therapy; it is also known as Cranial-
Electro Stimulation and Transcranial Electrotherapy.
One of the mechanism of action for CES is that the pulses of electric current increase the ability of
neural cells to produce serotonin, dopamine DHEA endorphins and other neurotransmitters stabilizing
the neurohormonal system. Since a slight stimulation of a pulsed milliamp current increases osmosis it is
shown that neurhormones work better from the increased osmosis.
It has been demonstrated that through CES, an electric current is engrossed upon the hypothalamic
region; during this process, CES electrodes are placed near to the face with the ground at the lower
body.
Current research shows an increase of the brain's levels of serotonin, norepinephrine, and dopamine,
and a decrease in its level of cortisol. After a MCES treatment, users are in an "alert, yet relaxed" state,
characterized by increased alpha and decreased delta brain waves as seen on EEG.
In 1972, a specific form of addiction release CES was developed by Dr. Margaret Patterson, providing
small pulses of electric current across the head to ameliorate the effects of acute and chronic
withdrawal from addictive substances. She named her treatment "NeuroElectric Therapy (NET)".
I worked with Margaret and treated rock star Pete Townsend for drug addiction. This is why the SCIO
system has had the MCES capacity built in.
The SCIO, Eductor technology is a descendent of the EPFX system US FDA registered in 1989 still in
registered for sale in America. Since 1989 we have sold over 35,000 such systems under the registered
name of EPFX, QXCI, Indigo, SCIO and Eductor. There have been well over 500,000,000 patient visits with
all getting some MCES, and not one reported case of any significant risk. Over 200 studies and articles
have been written and published on these systems and no report of any risk. It has passed all safety
tests since 1989 and all risk analysis has proved it to be insignificant risk.
The systems outlined have a potential of 0-4 volts which is beneath the human threshold of perception,
and 0-7 milliamps which makes it safe and for most subtle and undetectable.
For over 26 years reports of stress reduction, relaxation, anxiety reduction, emotional balance, addiction
release, insomnia reduction and sleep induction have been reported from the users and doctors.
The Eductor has a second wave form generator that can further intensify the CES effect. All this was
done with a cybernetic loop technology guided by the patient body electric reactions to the stimuli. Thus
we can further intensify the CES effect over older antiquated non-cybernetic technology.
Method: All subjects are volunteers who gave informed consent in writing. We used ages from 17 To 72 Male and female. They were part of a math speed and language memory study where we also looked at their TVEP reactions and compared it to known aspects of the patient.
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We first established a control reference group of ten subject reactions by asking them to solve the math problems or remember the words with no device. We observed practice effect and just how much time and effort normal subjects used to solve the problems.
Then the same researcher asked the questions to the subjects. The subjects were read an example, then asked to solve with no stimulation, then with a single generator and then with two signal generators.
Then the researcher recorded the TVEP data and reviewed it at a later time for its relevance with a
subjective relevance rating determined by the technician.
Results:
Relevance rated 1 low to 5 high
Subject #
Data Review DATE
TVEP Relevance Emotions panel relevance
1 25.01.2015
4 5
2 25 Jan 2015 5 5
3 25 Jan 2015 4 5
4 25 Jan 2015
4 5
5 25 Jan 2015
5 3
6 25 Jan 2015
5 4
7 25 Jan 2015 3 5
8 25 Jan 2015 4 5
9 26 Jan 2015 5 1
10 26 Jan 2015
4 2
11 26 Jan 2015 3 1
12 26 Jan 2015 2 5
13 26 Jan 2015 5 5
14 26 Jan 2015 5 5
15 27 Jan 2015 1 5
16 27 Jan 2015 3 5
17 27 Jan 2015
5 5
18 27 Jan 2015
5 4
19 27 Jan 2015
5 5
20 27 Jan 2015 4 5
21 27 Jan 2015 3 3
22 28 Jan 2015 4 3
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23 28 Jan 2015
5 5
24 28 Jan 2015 3 2
25 28 Jan 2015 4 4
27 28 Jan 2015 5 5
28 28 Jan 2015 5 4
29 8 Jan 2015
5 5
30 8 Jan 2015
5 5
31 8 Jan 2015
4 5
32 8 Jan 2015
5 5
33 8 Jan 2015
3 2
34 8 Jan 2015
2 4
35 8 Jan 2015
5 4
36 9 Jan 2015
5 4
37 9 Jan 2015
4 2
38 9 Jan 2015
4 4
39 9 Jan 2015
5 5
40 9 Jan 2015
5 5
41 8 Jan 2015
3 3
42 9 Jan 2015
5 4
43 9 Jan 2015
3 5
44 10 Jan 2015
5 5
44 10 Jan 2015
5 5
45 10 Jan 2015
4 4
45 10 Jan 2015
5 4
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46 25 Jan 2015
5 5
47 25 Jan 2015 3 3
48 25 Jan 2015 2 3
49 25 Jan 2015
5 5
50 25 Jan 2015
5 5
51 25 Jan 2015
5 5
52 25 Jan 2015 5 5
53 25 Jan 2015 5 5
54 26 Jan 2015 5 2
55 26 Jan 2015
4 4
56 26 Jan 2015 5 5
57 26 Jan 2015 5 4
58 26 Jan 2015 5 3
59 26 Jan 2015 5 3
60 27 Jan 2015 4 5
61 27 Jan 2015 4 5
62 27 Jan 2015
4 4
63 27 Jan 2015
5 3
64 27 Jan 2015
5 5
65 27 Jan 2015 3 5
66 27 Jan 2015 5 4
67 28 Jan 2015 5 5
68 28 Jan 2015
5 5
69 28 Jan 2015 5 4
70 28 Jan 2015 5 5
71 28 Jan 2015 4 3
72 28 Jan 2015 5 2
73 8 Jan 2015
5 5
74 8 Jan 2015
4 5
75 8 Jan 2015
5 5
76 8 Jan 2015
5 5
77 8 5 5
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Jan 2015
78 8 Jan 2015
4 4
79 8 Jan 2015
5 5
80 9 Jan 2015
5 4
81 9 Jan 2015
5 5
82 9 Jan 2015
4 1
83 9 Jan 2015
5 4
84 9 Jan 2015
5 5
85 8 Jan 2015
5 5
86 9 Jan 2015
3 3
87 9 Jan 2015
2 5
88 10 Jan 2015
4 4
89 10 Jan 2015
5 5
90 10 Jan 2015
5 5
91 10 Jan 2015
5 5
92 9 Jan 2015
2 5
93 10 Jan 2015
4 3
94 10 Jan 2015
5 2
95 10 Jan 2015
5 5
96 10 Jan 2015
5 5
Average = 4.4 Average = 4.2
The subjective double blind rating of effectiveness shows the SCIO’s ability to display relevant
physiological and emotional concerns.
Page 19 of 109
Placebo group
1 5 Jan 2015
3 3
2 5 Jan 2015
2 3
3 5 Jan 2015
1 2
4 5 Jan 2015
2 2
5 5 Jan 2015
1 2
6 10 Jan 2015
1 2
7 10 Jan 2015
2 3
8 10 Jan 2015
2 3
9 10 Jan 2015
1 2
10 10 Jan 2015
2 2
11 10 Jan 2015
1 1
Average = 1.6 Average = 2.3
Discussion:
Placebo to treatment group shows a very high significance, but we need to understand the
subjectivity of this test and realize that these results are not as profound as they might appear.
All of the doctors using this technology report its extreme value, but also it is not 100% reliable and all
results must be considered with further testing. There is indeed a TVEP effect but the technology is
just starting and needs much more research to be a fully defined diagnostic tool.
Till then the TVEP provides a valued set of opinions and thought provocation. But be sure to pursue a
more researched mode of diagnostics to validate your results.
The Risk Profile list of 40 categories also showed strong correlation in this study but we will publish
those results later.
TVEP has a valuable role in modern medicine.
Page 20 of 109
White Paper on Transcutaneous
Voltammetric Evoked Potential
(TVEP) and the Quantum Quality
Control Process (QQC) By Prof Desire’ Dubounet
Basic 5th grade science tells us. We are made of atoms and atoms are made almost exclusively of electrons, protons and neutrons. None of us can in any way perceive this simple truth presented to us in 5th grade. We live in the false belief that there is solid flesh in our bodies, when we know that it is not true. The outer area of any atom or molecule is made of the electrons. The electrons have a very strong electric charge. So strong that two electrons can almost never touch, the energetic charge will repel them. No atom ever touches another atom. No molecule ever touches another molecule. Everything is held together with energetic, quantum, electro-static-magnetic fields, or other subatomic forces. All of life is mostly electrons and protons that never touch but only interact trough quantic-electro-magnetic-static fields. Our bodies are made of electromagnetic fields from the electrons and protons in us. These are the basic forces of electricity. All of the interactions of life are energetic and electrical at some level. This is a 5th grade science fact.
The electrons generate the fields around them and the atoms and molecules that contain them can only interact through the field interactions. In some compounds the electron fields are held in tightly, such as in glass or other minerals. The electron fields cannot interact very freely. These items are largely inert, meaning they do not interact well with other molecular fields. Plants absorb minerals thru their roots and through the process of photosynthesis and quantum electro dynamics (QED) the outer electrons gain field energy and become freer. QED tells us that when an electron absorbs a photon (like a sunlight particle) the electron goes to a higher quantic state of energy. The high states of the hot electrons in sugar make energy for animals thru Adenosine Tri-phosphate (ATP). So the minerals go from inert substances to electron field interactive. In Biology electron field interaction is needed for life. And since the chemical companies cannot induce the proper electron field state thru their synthetic process, synthetic chemistry is incompatible with the human body.
The way the outer electrons and free protons are placed in a molecule is key. Also the quantic availability of the outer quantic shells is important. Ions and ionic forces are also key as are Van derWalls forces. The higher the electron strength, the more the interactions. The structure of the molecules will give it an individual electrical field in 3 dimensions. These produce a measurable field.
And yet so-called modern medicine ignores these simple facts. But one scientist, and electrical engineer who worked on the Apollo project for AC electronics, saw that the body electric could be measured and changed. We could detect and affect the body electric with extremely safe simple means.
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The purpose of this collection of articles is to make the scientific proof of the body electric and how it interacts or reacts to substances. Our research and literature review will verify the following.
1. All things are made of quantic-electro-magnetic-static fields. How these fields interact with each other dictates the results of interaction.
2. The fields of individual substances have particular individual field signatures that can be assayed using electrode based voltammetry.
3. A special voltammetric system for analyzing a wide variety of substance in a natural human like system has been developed and used for over two decades with incredible reproducible and clinical results. This is the QQC system first developed in 1988 and trademarked in the US in 1995. Sold worldwide it has had clinical and experimental validation. This QQC device is made to measure the electrical fields of a substance using 3 dimensional voltammetric techniques. A patent pending application for this individual QQC is contained within.
4. All vertrabrates have an electro-sense detection system. Salt water animals have an advantage living in an electro-conductive medium. Air livings mammals such as humans have a weak field detection system. The field of a substance will need to be amplified ten to the sixth times to get good readings on a human.
5. The electro-detection sense of the human is an extension of the olfaction system and is mostly trancutaneous.
6. Galvanic skin resistance is the one way to measure electro-sense detection. When coupled with voltammetric readings of electro-physiological reactivity (EPF) the accuracy is extended.
Page 22 of 109
7. The SCIO system is designed to be able to input a 3D QQC signal pattern and the assay the EPR voltammetric changes of a person to the stimuli. A catalogue of the EPR reaction patterns can then be evaluated for signal strength and duration.
8. The ionic exchange rate in the body human is approximately one hundredths of a sec. we can further calibrate to an individual reaction EPR speed. When we test a series of items at the best maximum reaction speed we call this process the Xrroid. The word Xrroid first coined by the developer of the system in 1989 in the FDA registration of the EPFX Electro-Physiological-Feedback-Xrroid.
9. This process is prone to internal and external intervention. Adaptation response of the person can change reaction strengths in sequential testing. So the companies have always used a disclaimer to state the fact that although the EPR is interesting it should not be considered as diagnostic. It is pre-diagnostic at best.
10. The stimulation or input of the QQC voltammetric signature of a substance is a know voltammetric signal and can be used to measure skin resistance. This is over the skin. The signal is a challenge to the body and the differences of pre and post signal measure can give us a EPR measure. Thus it is an measure of an electrical evoked potential. The whole process is then termed the Transcutaneous Voltammetric Evoked Potential (TVEP). A patent pending application for the SCIO individual TVEP is included.
11. Resistance to energetic medicine is profound from those with no electrical background or who were sick in 5th grade. The drug companies fear and loathe drugless therapies or electrical processes.
Global analysis of the charge stability of a person is akin to measuring the amount of free electrons to free protons. Most electrons and protons are bond tightly inside an atom. Electrons in the outer shell can be free or in a quantum imbalance seeking to balance a outer shell. This accounts for chemical bonds. So a direct global measure of ph can be detected and affected. There is a profound science of analysis of the body electric. ECG, EMG, EEG, GSR, to mention a few. But till now the body electric has been secondary and not of primary concern.
There has also been a vast body of research showing that electro-stimulation can be helpful to the body. Work on tens, electro-osmosis, wound healing, and micro-current device of an incredible range. Few have sought to interface theses two areas of medicine of measuring the body electric and then affecting the body electric. We can detect electrical aberrations in the body and then affect them. To measure an factor of the body electric and stimulate the body with a safe signal and then auto-focus the next pulse using a cybernetic loop using feedback principles. To measure the body electric, find aberrations of oscillation, reactivity, electro potential, resistance etc, and then to affect or repair these aberrations through micro-current stimulations.
A computer could read these signals and over 250,000 bits of data a sec. and check for anomalies or aberrations in the body electric. The non-linear fuzzy logic system can assay problems in the body electric such as but not inclusive, osmotic distension, dehydration from osmotic irregularities, oxidation disturbances, muscle tone disorders, dystonia, low voltage potential, low amperage, power index disorders, membrane capacitance dysfunction, ionic inductance dysfunction, reaction profile dysfunction, brain wave irregularities, heart rhythm irregularities, muscular problems of power transfer, and many others. In short dysfunction in the global body electric. We can measure muscle disorders and effect repair. When a current of known oscillations is sent through healthy tissue (input) a known output is received on the other side (output). When there is soft tissue damage the output readings are
Page 23 of 109
different in a known way. When there is hard tissue or muscle damage there is also a predictable output.
Then with a medically safe micro-current pulse the computer could attempt repair of these aberrations. The pulse is designed to electrically rectify or remedy injured tissue through muscular re-education or wound healing in the vernacular. The pulse can reduce pain, rejuvenate tissue, promote healing, and promote osmosis, balance oxidation issues, correct aberrant brain wave, muscle load disorders, and many other electrical issues. It is designed as a universal electro-physiological feedback system.
The SCIO/Eductor system measures 238 electrical variables every 2000th of a second or more. The oscillations of these variables allow us to calculate electro-potential. We can calculate voltage, amperage, resistance, hydration index, oxidation index, Proton pressure, Electron pressure, reactance, wattage power index, susceptance, capacitance, inductance and other electrical virtual readings of the body.
There are many counterfeit copies of the SCIO, some which are complete flim flam conartist nonfunctioning boxes. So be careful but only the Dr. Nelson approved SCIO or Eternale really works. The medical doctors have no teaching of the body electric. They are tJanht about synthetic drugs and surgery, so they fear the unknown body electric. Especially when their ego is assaulted and they must admit they don’t know something. So they sit back with fear. Only a few are bold enough with courage to even learn more. Bold enough to apply 5th grade science.
Page 25 of 109
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http://www.downloads.imune.net/journals/
http://www.downloads.imune.net/medicalbooks/978-615-5169-19-
9%20TVEP%20and%20Medication%20Testing%20(the%20research).pdf
http://www.downloads.imune.net/medicalbooks/TVEP%20The%20Clinical%20Experience%20complete.pdf
Page 35 of 109
TVEP Literature Review and 2014 New
Research
STUDY INFORMATION
SUPERVISING RESEARCHER: Dr. Danis György, MD, Licensed Hungarian Medical Doctor
Written and edited by IMUNE STAFF
PUBLICATION DATE: June 2014
SPONSOR
Mandelay Kft., H-1089 Budapest, Kalvaria ter 2., Hungary, Phone: 36-1-303-6043, Fax: 36-1-210-9340
MONITOR IMUNE (International Medical University of Natural Education)
Abstract: The SCIO device is EC registered to detect the Transcutaneous Voltammetric Evoked Potential (TVEP) of
a patient. Using electrodes placed over the skin (Transcutaneous) measuring volt, amp, resistance and
oscillation changes (Voltammetric) and measuring reactions to stimuli (Evoked Potential) the SCIO
device is registered to do TVEP. In this article a brief review of medical doctor studies published in peer
reviewed medical journals done over a twenty year period in England, Canada, America, Hungary,
Germany, Switzerland, South Africa, Mozambique, France, Japan, Ghana, China, and Romania will
more than validate the TVEP. Studies have shown time tested validity and medical acceptance of the art
of TVEP.
In this study we assay the amount of repeated items in a pre and post Xrroid test of treatment versus
placebo testing. In the placebo group the test is set on subspace only. During our research on patients
we test the pre and post Xrroid test of over 10,000 voltammetric signatures of various items after a
treatment or a placebo treatment. The top reactant items are calculated. In the post test significantly
more repeated items show that the TVEP reactivity is functioning compared to the placebo group.
There have been tens of thousands of therapists confirming the TVEP everyday in the field and
thousands of testimonials. But this paper is just to present the peer reviewed medical papers and the
new 2014 research as proof of the validity of safety and efficacy of the TVEP.
CLINICAL LITTERATURE REVIEW: In 1974 the first TVEP study at Youngstown State University showed a transcutaneous reaction of people
to a photo Evoked Potential. The voltammetric fields were measured with and old fashioned polygraph
device. see Nelson 1974
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1985 studies showed an ability to increase TVEP data accuracy with a computer handled data stream.
In 1986 patients in Germany and Finland were measured for TVEP reactions to compounds after the
Chernobyl disaster. This has a strong correlate to the TVEP results in Japan after the recent 2011 crisis.
The electro-physiological reactions to different Voltammetric patterns of nosodes, allerodes, isodes,
sarcodes and other compounds can give us family or trends of reactivity patterns. This was first
registered with the FDA in 1989, had the CE mark in 1996 and a new TVEP CE mark in 2010.
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The following medical supervised studies on TVEP electro-physiological reactivity were done to the
letter of the law and past peer review and were published in medical journals.
The first study of these TVEP family patterns were done here in Denver, Colorado in 1983.
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An English study was done in 1990 at the city of a toxic aluminum spill in 1988, Camelford, England.
Here a TVEP reactivity profile was developed testing hundreds of people exposed to excess Aluminum
toxicity. See IJMSH 1997 volume1/ 4 ISSN 1417 0876
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In 1992 a peer reviewed study on immune-compromised HIV positive and Aids patients was done in
Semmilvise hospital and presented at the International conference of Sexually Transmitted Diseases in
Singapore in 1995. see Electro-Reactivity as a pre screen of HIV infection patients, IJMSH 1997
volume1/ 4 ISSN 1417 0876
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The yearlong study of almost 2,000 patients showed the TVEP as a valuable tool for study.
Title: Electro-Physiological Reactivity Profiles
Supervizing researcher: Dr Istvan Bandics MD Licensed Hungarian Medical doctor. This
study was done at the Hippocampus clinic in Budapest on 1834 patients attending the
clinic in 1994. Studies done with the supervision of a local ethics committee and all
subjects gave informed consent to participate as part of their intake form.
Abstract:
During the course of a one year period the 1834 patients in our clinic were all asked
in their intake form to participate in a study. All patients were treated with the
EPFX device. The types of disease trends these patients presented were evaluated by
one of the medical doctors on staff. The EPR reactivity profile was checked by the
EPFX device. A comparison of the EPR reactivity patterns yielded a Risk probability
profile. The results of this profile are reported here.
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At the Szent Janos hospital in 1995 Budapest a TVEP study was done on cataract patients. Both of these
studies proved TVEP reactions patterns to be helpful and significant in detection of disease patterns. see
XRROID reactivity patterns in Cataract patients, IJMSH 1997 volume1/ 4 ISSN 1417 0876
Another study of the Electrical Reactivity of Patients to Nosodes, Allersode, Isodes, and Sarcodes IJMSH
1997 volume1/ 4 ISSN 1417 0876 showed a high correlation of reactivity to clinical diagnosis.
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A 2002 several Canadian medical studies showed the Value of the TVEP. This is but one.
QED TVEP Biofeedback, Gut Dysbiosis &
Hypomonocytosis Clinical SOAP Correlation
Study IRB supervision: Under the supervision of Ethics International of Romania acting as the IRB for this study
under rights of International law. This study was commissioned by Ethics International in 2001.
Gut Dysbiosis multidimensional analysis is compared to bioelectric Quantum Electro Dynamic
Biofeedback (QEDBF). QEDBF’s key VARHOPE & Cellular Vitality Index (CVI) indicators are clinically
correlated with subjective clinical context of stress to determine if they reliably mirror conventional of
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systemic Hyper or Hypo-Monocytosis, Hyperlipidemia, and Hyperuricemia, or other Immune indexes
that indicate confirmation of the activation of the immune cascade (called the TH2 Induction Stress
Response which leads to lymphoma and autoimmune disease). We intend to determine how and
where QEDBF can be used as a prediagnostic integrated medicine tool to help navigate personalized
health record by providing a safe, reliable and objective non-invasive bioenergetic information
gathering tool.
In particular, the body electric and its bioterrain balance were measured and show ill health may
ensue as a result of low mineral resistance causing abnormally high conductivity. Vitality can be
measured now with QEDBF to indicate states of Low Resistivity, along with reliable detection of low
adrenal Voltage and lymphatic Amperage for drive and willpower, along with indicators of pH
balance, Phase Angle of cellular permeability, Resonance Frequency Pattern to objectify anxiety states
or exhaustion, Reaction Speed to indicate enzymatic response, and other electrical measurements to
indicate Cellular Vitality Index (CVI). The data gathered efficiently and safely by the addition of the
integrated medicine tool QEDBF provided a bird’s eye view at a fraction of the time and conventional
laboratory costs, while successfully mapping many suspected but heretofore hidden stressors and
especially pathogens leading to gut dysbiosis. These repeatable, predictable disease patterns are
reliably detected electrically with QEDBF and hint in advance at the unfolding of chronic illness, which
predictably cause increased morbidity and mortality in middle aged, ambulatory community based
patients seeking stress, pain and relaxation management.
Principal Investigator: Dr. Deborah Anne Drake, BSc, MD, CCFP(EM), FCFP, CQI
Nutritionist Jennifer Hough, Research Nurse Practitioner Joanne Hunter, Research Assistant Darria
Pressey, Statistical Assistant Electrical Engineer Vivian Jones
Location: Health Cirquet Integrated Family Medicine Center, #311- 6633 Hwy 7 East, Markham, Ontario,
Canada, L9L 3P6 905-294-3322. Copyright 2002, 2009 All Rights Reserved.
Abstract: This Gut Dysbiosis study to quantify immune induction, comparing old to new tools like
biocommunication scanners like the QEDBF, is the first study of its kind in Canada to confirm the safety
and efficacy of the Quantum Electro Dynamic Bio- Feedback (QEDBF) using the Electro-physiologic
Feedback Xrroid or EPFX scanner as well as to confirm the recognition of bioterrain disruption. We
map with subjective surveys, compared to conventional and complementary testing methods to map
the lay out of the immune systems, nutrition, toxic load, mood, social stress and other factors like
Candidiasis, parasite overload or celiac disease. We compare the QEDBF findings with the high clinical
suspicion that stressed individuals, as determined by low peripheral white blood cell absolute
Monocyte count, may harbor occult pathogenic infections.
We studied 50 voluntary, ambulatory, community based male and female middle aged patients in
great detail, using 7 health surveys, dozens of conventional and research screening tests in
hematology, biochemistry, autoimmune, specialized brain cerebro-ganglioside markers. We tested a
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further 50 subjects with QEDBF for comparison and trends, and further compared 10 randomly
selected subjects to be evaluated with QEDBF testing. The goal is to determine what historical, risk, or
symptoms, signs or lab tests provide the forewarning. It appears through observation that illness and
immune induction are forecast when the bioterrain conditions permit loss of homeostasis. This study
focuses on the correlation of hyper or hypomonocytosis with low Resistivity, (low grounding minerals
from a variety of causes). We correlate stress and exhaustion from biochemical and bioelectric
perspective and attempt to map under close research control, the comparison of conventional and
bioelectric impairments, using bioelectric vectors, called VARHOPE score, Cellular Vitality Index (CVI
and Phase Angle (PA).
Furthermore, we predict the worse the electrical grounding and mineralization, as detected with low
Resistivity scores, the higher the prevalence of subsequent bioterrain shift, and thus colonization of a
change in flora, ultimately culminating in reduced infection resistance, Candidiasis, Fungal and
pathogenic overgrowth, and the resultant induction of the immune cascade which should be
measureable. The worse the homeostasis, we predict the worse the oxygenation, hydration and
nutritional status, digestion and weight. The lower the cellular vitality index (CVI), we predict the
worse the healing speed or increased chance of infection or relapses, leading to higher than normal
rates of Signal Transduction Pathway Immune cascading, leading to chronic illness, and the 4 top
North American Disease Killers – Cardiovascular, Cancerous , Autoimmune diseases and Iatrogenic
death. (This preventable escalating predictable cascade follows the Autoimmune/TNFalpha/Celiac tri-
genes on chromosome 6, triggering the TH2 Signal Transduction Pathway of body defense and stress
response, leading to platelet aggregation, Betaoncogene induced Lymphoma, and Interleukin IL6 & IL8
Inflammatory cytokines and White Blood Cell Neutrophilic degranulation.)
In 2006 a large scale study of over 97,000 patients on almost 300,000 patent visits has further confirmed
the safety and effectiveness of the TVEP study.
970,000+ Study of the
Safety and Efficacy
of the TVEP families in the SCIO Device
Abstract: A global and momentous research project was developed for the last two years. The
SCIO device is a Universal Electro-Physiological device used for stress reduction and patient treatment.
Over 2,200 qualified biofeedback therapists joined our Ethics Committee study to evaluate how stress
reduction using the SCIO device could help a wide variety of diseases.
The device and thus the study has insignificant risk. There was a staff of medical doctors who
designed and supervised the study.
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Over 97,000 patients gave informed consent and participated in the study. The study would
conclusively prove safety and efficacy of the SCIO Device. With over 60% of these patients having
multiple visits. There were over 275,000 patient visits. With a total record of the SCIO patient
information, therapy parameters and reactivity data.
Two of the 2,200 plus therapists were given blank devices that were completely visually the same
but were none functional. These two blind therapists were then given 35 patients each. This was to
evaluate the double blind component of the placebo effect as compared to the device. Thus the studied
groups were a placebo group, a subspace group, and an attached harness group.
This is just the first study in a long task of analysis in truly break down the data totally. This
study verifies the safety and efficacy of the SCIO device as well as the validity of the TVEP family
reactivity. There were small effects seen in the placebo group, larger effects in the subspace, and
astounding effects in the real harness group.
Qualified studies are being organized in China after the success the SCIO had in treating and helping the
China Olympic team in 2008.
Project Nahinga in South Africa, Ghana and Mozambique has shown the validity of the TVEP in AIDS
patients.
So now we have reviewed how over 2,300 medical personnel have done clinical tests on over 100,000
patients on well over 300,000 patient visits in over 50 different peer reviewed published medical
studies. And now we will review the current 2011 data.
Introduction:
Method: Now in this study using the clinical protocol we would like to develop and test TVEP patterns for allergy,
organic disease, and infection. By finding patient with medical diagnosis or qualified opinion of a disease
we will test the patient and compare his TVEP results to others with the same disease versus the control
groups we have from other studies.
The hypothesis is that TVEP patterns can be used to help in pre-diagnostic ways to help us to understand
patients better.
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Repeatability DATA:
Romania:
TOTAL TREATMENT SUBJECTS: 72 - Total repeating items: 5154
Average: 71.16 repeating items per patient
Total Placebo subjects 32: Total repeating items: 1076
Average: 33.62 repeating items per patient
USA:
TOTAL TREATMENT SUBJECTS: 64 - TOTAL REPEATING ITEMS: 4748
AVERAGE: 74.18
Total Placebo subjects 24. Total repeating items: 810
AVERAGE: 33.75
HUNGARY:
TOTAL TREATMENT Subjects: 28 Total repeating items: 2176
Average: 77.7 repeating items per patient
Total Placebo Subjects: 24 Total repeating items: 5874
Average: 24.45 repeating items per patient
____________________________________________________
Subjects total= 244
Treatment subjects= 164 Average repeated items= 73.2
Placebo subjects= 80 Average repeated Items= 30.2
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Conclusions of Repeatable Validity: The odds of a single item being at the top of the reactivity score is about one in ten thousand. The odds
of it repeating at the top are thus one in ten million. The odds of an item being in the top three standard
deviations from the mean are about one in 2000. Repeating in the top 3 standard deviations the odds
are about one in 4000. Chance would dictate the odds of repeating items to reoccur at about 10 items in
two tests.
In our subspace Placebo test the system uses a prayer wheel variation of the I-Ching and we see over 33
items reoccurring during Placebo tests. In the placebo test the QQC TVEP treatment is off.
In our treatment group there was over 70 items consistently repeating which shows a dramatic scientific
significance of the TVEP validity. Thus our TVEP function has validity. But what of the choices? Are the
choices relevant to the disease risk state? Let’s compare the old research with our new data.
Family TVEP Data 2011 study: Stress- Of the 244 2011 subjects so far tested Nine five showed stress. 15 of these were in the Placebo
group. The placebo group showed no similarities of reactivity but the TVEP treatment group showed
consistency of these items on SPSS review.
1. 630 ANTI-STRESS (NV) I Combo remedy for excess stress improves the effects of stress about 15% to 20%. , 2. 799 STRESS FORMULA I Supplies nutrients depleted by stress. 3. 955 EU-STRESS (DR) I Combo remedy to help deal with stress. 4. 1024 KIDNEY, OVARIAN, ADRENAL (DR) I Sarcode remedy for tissue rebuilding and detox. ], 1025 KIDNEY, PROSTATE,
ADRENAL (DR) I Sarcode remedy for tissue rebuilding and detox. 5. 710 FATTY ACID LIQUESCENCE (NV) I Combo remedy supplying the most chronic nutritional deficiency.],
Brain Fatigue- 12 of the treatment group reported having Brain fatigue. They had 80% reaction to these
items on SPSS analysis.
1. 940 PULMO LIQUITROPHIC (DR) | Combo remedy to assist in lung repair.
2. 937 OXY LIQUITROPHIC (DR) | Combo remedy for oxygenation and energizing aid.
3. 701 ADRENAL LIQUESCENCE (NV) I Combo remedy for hypo-adrenia or to provide adrenal stimulation.
4. 670 MEMORY (NV) | Combo remedy for any memory (brain) disorder, stimulate oxygen, increase attention.
Pain- Ten patients reported pain in the 2011 tests. They had 80% reaction to these items on SPSS
analysis.
1. 2810 POLYNEURITIS | Multiple neurological inflammations or nerve compressions.,
2. 920 B LIQUITROPHIC (DR) | Combo remedy supplying vitamin Bs, mental depression, pellagra.
3. (431 L-PHENYLALANINE | Amino acid used for pain control.
4. 743 MAJOR NERVES (NV) | Combo remedy for all nervous diseases, ids neurological
involvement.
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Digestive- Twelve patients reported digestion disturbance. They had 80% reaction to these items on
SPSS analysis.
1. 641 DIGESTIVE ENZYME (NV) | Combo remedy for stabilizing digestive organs, ids indigestion.
2. 709 DIGESTIVE ENZYME LIQUESCENCE (NV) | Combo remedy for stabilizing the digestive system.
3. 785 DIGESTIVE GLANDULAR, GENERAL | For anti inflammation enzyme and cancer therapy, use
at bed, on empty stomach.
4. 939 PROPEPSIA LIQUITROPHIC (DR) | Combo remedy to stimulate and balance digestive enzyme
release.
Connective Tissue injury - There was 5 cases of connective tissue injury reported in the treatment
group. They had 80% reaction to these items on SPSS analysis.
1. 376 FLEX-ABILITY (SHUJIN, CHIH) | Herb to increase flexiblility. 2. 594 Cervical nosode and sarcode of all tissues and diseases of the neck or cervical vertebrae. nerve disorder 3. 595 CONNECTIVE TISSUE | Sarcode of connective tissue, ids fault 4. 648 FLEX (NV) | Combo remedy for promoting flexibility of joints and muscles. 5. 707 CONNECTIVE TISSUE LIQUESCENCE (NV) | Combo remedy for connective tissue disease, helps repair tissue.,
AIDS- There were 3 AIDS patients tested in 2011. They had 80% reaction to these items on SPSS
analysis.
1. 928 HEMO-A LIQUITROPHIC (DR) | Combo remedy to assist in blood (hemoglobin) auto-immune disorders.
2. (937 OXY LIQUITROPHIC (DR) | Combo remedy for oxygenation and energizing aid.
3. 714 HERBAL LIQUID BEE POLLEN LIQUESCENCE (NV) | Combo remedy for increasing oxidation.
Cataracts- There were 3 patients with cataracts treated with the TVEP and pre and post measures.
They had 80% reaction to these items on SPSS analysis.
1. sucrose
2. aspartame
3. glucose
4. cataract nosode
Infections- There were 5 reported cases of infections reported They had 80% reaction to these items
on SPSS analysis.
1. 606 BAC (NV) | Combo remedy for bacterial immune stimulation.
2. 726 THYMUS LIQUESCENCE (NV) | Combo remedy for stimulating thymus and immune function.
3. 903 BACTERIA FUGE (DR) | Combo remedy for bacterial immune stimulation.
4. 1760 ACIDOPHILUS | Bowel (colon, intestine) flora bacteria, can id flora imbalance, good food.
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Worms There were 3 patients with confirmed intestinal parasites. They had 80% reaction to these
items on SPSS analysis.
1. 2872 BACH FLOWER CHICORY | Possessiveness, self Love, self pity. (FE),
2. 660 IMMUNE STIM (NV) | Combo remedy for immune weakness or over action, stabilize
reticuloendothelial system.
3. Vermex
Radiation From Japan one of our Japanese doctors challenged 12 subjects within the exposure of the
recent 2011 nuclear accident. They had 80% reaction to these items on SPSS analysis.
1. Algin
2. Radiation detox
3. sodium Alginate
Toxic Aluminum Exposure: Three people from the Hungarian aluminum spill were checked in the
treatment group. They had 80% reaction to these items on SPSS analysis.
1. metex
2. Aluminum
3. Radon
Allergy Twelve allergy patients had treatment from TVEP. They had 80% reaction to these items on
SPSS analysis.
1. 615 OPSIN I (NV) | Assists in desensitizing allergic reactions from miscellaneous foods.
2. 616 OPSIN II (NV) | Assists in desensitizing allergic reactions from miscellaneous inhalant
allergens.
3. 1354 AFLATOXINS | Highly toxic compound that can id allergies or treat allergic conditions,
phenol.
4. 1710 ALLERGY MERIDIAN | this acupuncture meridian has shown reactivity, possible blockage.
5. 1752 ALLERGY MALUS - Bad Allergy | Ids strong allergy known or unknown.
Conclusions of Family TVEP Validity: We can compare the twenty year history of family reactivity of the TVEP. Our scientific conclusions show
that individual item reactions can have interesting results. But they are not valid enough to form
complete medical conclusions. The Family reactions that form the “Risk Profiles” of disease states are
much more valid but they are also still not valid enough to form firm diagnostic conclusions from. There
is a science of TVEP and medication reaction. This is more valid with natural compounds than synthetic,
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making this hard for medical people who live by using synthetic drugs to replicate or even understand.
This science is still in its infancy after almost twenty years. A full disclaimer of the questionable Xrroid
results and probable risk profile results must be used and made aware to all users. These constitute
probabilities and can turn the doctor to deeper more refined medical techniques. The TVEP is of pre-
diagnostic interest only.
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Notice the reference to TRANSDERMAL reactivity, meaning skin resistance.
Spatial Acuity and Prey Detection in Weakly
Electric Fish David Babineau1, John E. Lewis2,3HYPERLINK "http://www.ploscompbiol.org/article/info:doi%2F10.1371%2Fjournal.pcbi.0030038" \l "cor1"*, André Longtin1,3 1 Department of Physics, University of Ottawa, Ottawa, Ontario, Canada, 2 Department of Biology, University of Ottawa, Ottawa, Ontario, Canada, 3 Center for Neural Dynamics, University of Ottawa, Ottawa, Ontario, Canada Abstract It is well-known that weakly electric fish can exhibit extreme temporal acuity at the behavioral level, discriminating time intervals in the submicrosecond range. However, relatively little is known about the spatial acuity of the electrosense. Here we use a recently developed model of the electric field generated by Apteronotus leptorhynchus to study spatial acuity and small signal extraction. We show that the quality of sensory information available on the lateral body surface is highest for objects close to the fish's midbody, suggesting that spatial acuity should be highest at this location. Overall, however, this information is relatively blurry and the electrosense exhibits relatively poor acuity. Despite this apparent limitation, weakly electric fish are able to extract the minute signals generated by small prey, even in the presence of large background signals. In fact, we show that the fish's poor spatial acuity may actually enhance prey detection under some conditions. This occurs because the electric image produced by a spatially dense background is relatively “blurred” or spatially uniform. Hence, the small spatially localized prey signal “pops out” when fish motion is simulated. This shows explicitly how the back-and-forth swimming, characteristic of these fish, can be used to generate motion cues that, as in other animals, assist in the extraction of sensory information when signal-to-noise ratios are low. Our study also reveals the importance of the structure of complex electrosensory backgrounds. Whereas large-object spacing is favorable for discriminating the individual elements of a scene, small spacing can increase the fish's ability to resolve a single target object against this background. Author Summary Extracting and characterizing small signals in a noisy background is a universal problem in sensory processing. In human audition, this is referred to as the cocktail party problem. Weakly electric knifefish face a similar difficulty. Objects in their environment produce distortions in a self-generated electric field that are used for navigation and prey capture in the dark. While we know prey signals are small (microvolt range), and other environmental signals can be many times larger, we know very little about prey detection in a natural electrosensory landscape. To better understand this problem, we present an analysis of small object discrimination and detection using a recently developed model of the fish's electric field. We show that the electric sense is extremely blurry: two prey must be about five diameters apart to produce distinct signals. But this blurriness can be an asset when prey must be detected in a background of large distracters. We show that the commonly observed “knife-like” scanning behaviour of these fish causes a prey signal to “pop-out” from the blurry background signal. Our study is the first to our knowledge to describe specific motion-generated electrosensory cues, and it provides a novel example of how self-motion can be used to enhance sensory processing. Citation: Babineau D, Lewis JE, Longtin A (2007) Spatial Acuity and Prey Detection in Weakly Electric Fish.
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PLoS Comput Biol 3(3): e38. doi:10.1371/journal.pcbi.0030038 Editor: Karl J. Friston, University College London, United Kingdom Received: Janust 24, 2006; Accepted: January 4, 2007; Published: March 2, 2007 Copyright: © 2007 Babineau et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This research was funded by grants from the Natural Sciences and Engineering Research Council of Canada to AL and JEL and a CFI/OIT New Opportunities Award to JEL. Competing interests: The authors have declared that no competing interests exist. Abbreviations: ELL, electrosensory lateral line lobe; EO, electric organ; SNR, signal-to-noise ratio * To whom correspondence should be addressed. E-mail: [email protected] Introduction Weakly electric fish are commonly found in the freshwater systems of South America and Africa [1,2]. These nocturnal fish use a unique sensory modality, called the “electrosense,” to help them navigate, communicate, and find prey in the absence of strong visual cues [3]. The electrosense involves a specialized electric organ that emits an electric discharge resulting in a dipole-like electric field in the surrounding water [4]. The transdermal potential (the so-called “electric image”) is continuously monitored via electroreceptors found in the skin layer. Changes in the spatial properties of the electric image can provide cues that help the fish determine the location, size, and electrical properties of nearby objects [5–10]. Recent studies have shed new light on the weakly electric fish's perceptual world. In the context of distance perception, the amplitude and width of an electric image were shown to be analogous to visual contrast and blur [11]. The electric image produced by an object can also be distorted by nearby objects; consequently, conductive objects can act as electrosensory “mirrors” [12]. In contrast with the visual sense, however, the electrosense has no focusing mechanism and is limited to the near-field, so it is generally considered a “rough” sensory modality [13–16]. In fact, the range of active electrolocation in weakly electric fish is likely only about one body length [7], and considerably less for small prey-like objects [17]. Within this range, much is known about the fish's temporal acuity [18,19], but relatively little is known about the fish's ability to resolve multiple nearby objects. Here, we consider the notion of “electro-acuity,” analogous to the notion of visual acuity found in the visuo–sensory lexicon, to investigate the quality of electrosensory information in the spatial domain. A common measure of acuity in other sensory systems is the just-noticeable difference, or the minimum difference between two stimuli such that they are perceptually distinct [20]. In the present context, we consider an analogous measure to describe the quality of electrosensory input available for a discrimination task. We define this measure as the minimum spatial separation of two objects (Smin), such that two distinct peaks remain in the electric image on the fish's skin (Figure 1). Using a 2-D finite element method model of A. leptorhynchus' electric field [9], we show that Smin is smallest in the fish's midbody and decreases for objects placed farther away from the fish. This suggests an interesting contrast with the “electrosensory fovea” in the head region [10,17], where the highest density of electroreceptors is found [21]. Overall, we found that electroacuity is poor relative to visual acuity in humans, but is comparable with that of the human somatosensory system.
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Figure 1. Electric Images Produced by Two Prey-Like Objects and Determination of Smin The head is at position 0 m along the rostro–caudal axis. The midbody is at 0.11 m, and the tail is at 0.21 m. All interobject distances are center-to-center, and object-to-fish lateral distances (i.e., perpendicular to fish midline) are from object center to skin surface. (A) Electric field potential in the presence of two identical prey-like objects (modeled as 0.3-cm diameter discs with a conductivity of 0.0303 S/m; water conductivity: 0.023 S/m). Objects do not affect the field much due to their small size and conductivity similar to the water. The Smin (14 mm) is also shown for a specific prey position (left prey located 0.11 m caudally from the tip of the head and 0.012 m laterally to the skin). The potential at different points is measured with respect to a reference electrode placed laterally to the fish in the far field, near the zero potential line [9]. (B) Overlays of electric images for three different object locations illustrating the increase in image amplitude in the caudal direction (x) and the decrease in amplitude for increasing lateral distances (y). (x,y) = (0.05, 0.03), (0.05, 0.015), (0.1, 0.015) m. As described in Materials and Methods, these images
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are computed as the difference between the transdermal potentials measured with and without the object present. (C) Overlays of electric images for three distinct interprey distances (see inset). Blue trace shows Smin, when the two peaks in the electric image are just noticeable. Computation of the images is as in (B). Location of more-rostral prey as in (A). doi:10.1371/journal.pcbi.0030038.g001 Despite the apparent low quality of electrosensory signals, weakly electric fish are able to detect small prey [7,17]. Although there is no direct evidence, it is reasonable to assume that they do so even in the presence of noisy background signals [7]. In a related task (object tracking), background noise has been shown to degrade performance [22,23]. Single-cell recordings in midbrain neurons have further revealed that some low-frequency background signals can interfere with directional selectivity [24]. It is thus believed that some of the natural behaviors exhibited by the fish play a central role in signal extraction. In particular, simulations have suggested that tail-bending could improve object detection by increasing the electric image's amplitude [13,14]. It has also been suggested that the back-and-forth swimming, or scanning motion, observed in these fish could be used to generate specific electrolocation cues [25–28], although this has not yet been demonstrated. Indeed, to elucidate the nature of these motion-related cues, we have simulated this scanning motion and show that, under some conditions, this behavior could assist in extracting small prey-like signals from large background ones. We show that the component of the electric image produced by a sufficiently dense background does not change during scanning, whereas the one produced by the prey object, albeit miniscule in comparison, does. This process is similar to motion-related cues and active sensing techniques seen in other contexts [28,29]. Results In the following analyses, we use our previously described finite-element model of the electric field produced by A. leptorhynchus (see Materials and Methods and [9,30]).Figure 1A shows the simulated dipole-like potential map for this fish in the presence of two prey-like objects. Such objects do not greatly perturb the fish's natural field due to their small size and conductivity (which is similar to that of the water). Figure 1B shows overlays of electric images due to single objects at different locations (i.e., each image is computed separately). Such images show characteristic shapes but vary systematically in amplitude and width with rostral–caudal and lateral location [5,9,10]. Figure 1C shows images produced by object pairs for three different interobject distances (shown in inset). Prey-like objects that are located too close together (green trace) produce a single peak in the electric image (similar to the images in Figure 1B), while objects separated by a larger distance produce two distinct peaks (red trace). The blue trace illustrates the electric image in which two peaks are just barely distinguishable; we define the associated interobject distance as Smin. Thus, Smin, measured in these noiseless conditions, delineates a limit to electroacuity. A smaller Smin suggests better electroacuity (i.e., increased spatial resolution). For this specific prey-like object and rostro–caudal location, the Smin is 14 mm. This suggests that, at this lateral distance, these two objects must be separated by at least 14 mm, a distance approximately five times their diameter, to be distinguished. Electroacuity varies for different lateral and rostro–caudal object locations (Figure 2, see insets). Figure 2A and 2C shows the effects of object size and conductivity, respectively, on electroacuity for different lateral positions (rostro–caudal position fixed near the fish's midpoint, 0.11 m). Smin increases (electroacuity decreases) for objects that are placed farther away from the fish, regardless of object size or conductivity. When objects are far from the fish, Smin is roughly independent of object size (Figure 2A). At the closest location possible for the largest object (blue curve), Smin is smaller than for the other object sizes. This is a consequence of the relative sharpening of the image for close large objects (see Figure 1B). The sharpness of an image can be quantified by the reciprocal of its normalized width (width divided by amplitude). Image sharpness decreases (normalized width increases) with lateral distance
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and, in general, is independent of object size [5]. However, object size becomes a factor for locations close to the skin (see largest object in Figure 2A and 2B), as larger objects produce relatively sharper images in these cases [9]. Note also that there is a slight inflection at a lateral distance of 0.016 m (Figure 2A and 2C) due to the spatial heterogeneity of the electric field (higher density of field lines near the zero potential line, which curves rostrally as seen in Figure 1A).
Figure 2. Effect of Object Location and Conductivity on Spatial Electroacuity In all panels, see fish insets for approximate lateral and rostro–caudal locations where Smin was calculated. Error bars represent the sampling that was used to calculate the Smin (either 0.5 or 1 mm). Lateral distance is measured as object center to fish skin (as in Figure 1). (A) Effect of lateral distance on Smin for three distinct object diameters (rostro–caudal location, x = 0.11 m). Red, 0.3 cm (prey size); green, 1 cm; blue, 2 cm. Object conductivity fixed at 0.0303 S/m (prey conductivity). (B) Effect of rostro–caudal position on Smin for same object sizes and conductivity as (A), with a lateral distance of 0.012 m. (C) Effect of lateral distance on Smin for three distinct object conductivities (rostro–caudal location, x = 0.11m). Red, 0.0005 S/m (plant conductivity); green, 0.0303 S/m (prey conductivity); blue, 0.5 S/m. Object diameters fixed at 0.3 cm (prey size). (D) Effect of rostro–caudal position on Smin for same object diameter and conductivities as in (C), with a
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lateral distance of 0.012 m. doi:10.1371/journal.pcbi.0030038.g002 Figure 2B and 2D shows the effects of object size and conductivity, respectively, on electroacuity for different rostro–caudal positions (lateral object center-to-skin distance fixed at 0.012 m). In general, Smin is smaller for larger objects, all along the length of the fish. The largest objects (2 cm) can actually be distinguished in the artificial condition of overlapping (i.e., the two objects are fused into a single composite peanut-shaped object), suggesting a mechanism for shape discrimination under some conditions. The position x = 0.11 m suggests a point of optimal acuity along the side of the fish. The two peaks in the image can be distinguished more easily for objects in this region because this is the rostro–caudal location where electric images are sharpest [9,10], so that there is minimal interaction between the individual images produced by each object. Object conductivity has comparatively little effect on the Smin in both lateral and rostro–caudal directions (Figure 2C and 2D). Overall, Smin varies much more in the lateral direction than in the rostro–caudal direction (compare Figure 2A–2C and 2B–2D) due to the relatively large changes in image sharpness as lateral object distance increases [5,8]. The effect of water conductivity on electroacuity was also studied for a specific location (x = 0.11 m, y = 0.015 m). For the range of water conductivity values found in the rivers in which A. leptorhynchus live (between 0.00085 and 0.01135 S/m [2]), Smin changes only slightly. As an overall trend, Smin decreased as water conductivity diminished (from 15.5 to 12.5 mm as water conductivity decreased from 0.05 to 0.0005 S/m). As a first step toward understanding electroacuity in a more natural context, the electric images produced by differently sized arrays of background objects (with “plant-like” conductivity) were studied systematically. In Figure 3A, the red trace shows the electric image produced by a single such object located 0.11 m caudally from the tip of the fish's head (red object in inset located close to the fish's midpoint). The orange trace shows the electric image produced by three objects: the central one (red) plus one (orange) added 0.03 m on each side. In a similar progression, electric images are shown for up to 11 objects. With larger numbers of aligned objects, the electric images converge. Thus, for an array of seven objects (approximately a fish body length), the image is almost the same as with 11 objects. The electric images are each marked by a singular peak because the interobject distance is too small (at this lateral distance of 0.05 m) to resolve different peaks, i.e., object separation is less than Smin. The small bumps at approximately 0.03 m and 0.2 m are due to abrupt changes in fish geometry near the head and tail, respectively, and are not due to individual objects within the background array. Similar results were also observed for object arrays positioned closer to the fish, where different peaks were observed in the electric image, as well as for solid bars of increasing widths (unpublished data). Figure 3B shows the effect of changing the object spacing in similar arrays. At the largest spacing (red), the image is dominated by the contribution from the central object. For arrays that are more spatially dense (green, blue), the contributions of individual objects are blurred, resulting in an image with a broad peak.
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Figure 3. Electric Image of a Plant-Like Background All images in both panels are computed as the difference in transdermal potentials, with and without objects (as described in Materials and Methods). (A) Electric images produced by six distinct background widths, which differ in number of objects (see inset). Red, 1; orange, 3; yellow, 5; green, 7, blue, 9; purple, 11. The 2 cm–diameter discs have a conductivity of 0.0005 S/m to mimic the plant Hygrophilia. Discs are located 0.05 m away laterally from the fish's midline and are separated, one from another, by 0.03 m. All series of objects are centered near the fish's midpoint (red object in inset) and color in inset denotes external objects of a given series. (B) Electric images due to backgrounds with three different interobject spacings: blue, 0.03 m (same as panel A); green, 0.06 m; red, 0.09 m. Otherwise, objects are identical to those in panel (A). doi:10.1371/journal.pcbi.0030038.g003 These object arrays provide a simplified model of the background signals comprising a natural electrosensory landscape. To better understand how weakly electric fish are able to detect miniscule prey in the presence of large-background signals, we calculated the electric image produced by a small Daphnia-like prey object against a large-background array of objects (Figure 4). Even though the prey is located just 0.008 m from the fish's skin (compared with the 0.05 m lateral position of the background), the electric image with the prey and background is not much different than the one obtained with the background alone (largest deviation between the two images is about 4%; compare Figure 4A and 4B). The interesting feature, however, is that the overall image shape is similar regardless of the fish's position during a simulated scanning movement (even though the background was simulated as a discrete set of objects). This can be understood in terms of electroacuity: the background objects are too close together to be distinguished and thus form a blurred image. It is critical to note that during the scan, however, the small blip created by the prey does change location within the electric image (Figure 4B; note that the images do not overlap perfectly). Next, we demonstrate this point explicitly by considering the time-varying image during a simulated scanning movement.
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Figure 4. Electric Image of a Plant-Like Background in the Presence and Absence of a Prey Object All images in both panels are computed as the difference in transdermal potentials, with and without objects (as described in Materials and Methods). (A) Six fish positions (see inset, top) for which the electric images (bottom) produced by a 15-disc Hygrophilia plant-like background (0.05 m lateral to fish, as in Figure 3) were calculated. Electric images are barely distinguishable from one another. Fish positions differ from one another by 0.02 m, 0.02 m, 0.03 m, 0.005 m, and 0.015 m (see inset). (B) Same as in panel (A) except a Daphnia-like prey object (0.3-cm diameter as in Figure 1) was added at a lateral distance of 0.008 m from the skin. doi:10.1371/journal.pcbi.0030038.g004 The consequence of the relative differences between background and prey during a scanning movement is that the small prey signals can be extracted by looking at the time-varying transdermal potential at specific locations along the fish's body. Figure 5 illustrates the temporal profile of the transdermal potential at two distinct body locations under different conditions. The signal measured at Location A (see inset) reveals a clear prey-dependent component (Figure 5A, compare green and blue traces). Note also that this prey signal (in the presence of the background) is very similar to that for the prey-alone condition (Figure 5A, compare blue and red traces). When the interobject distance in the background becomes too large, as in Figure 5B, the background image is no longer blurred and individual object characteristics appear, thereby masking the prey-specific signal. This effect can be even more pronounced when the objects are randomly spaced over the same area (Figure 5C). Figure 5D–5F shows a similar result for a different body location (note that the prey-specific signal occurs slightly later in time at this location, due to the scanning direction).
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Figure 5. Transdermal Potential at Two Distinct Points on the Fish's Body During Simulated Motion To calculate each image, 21 different fish positions were used. In all cases, images are the raw transdermal potential with the mean removed to more easily compare the different curves. Black arrow shows direction of the simulated scanning motion used to generate the time series shown, with a scanning speed of 0.1 m/s. The legend in (A) applies to all panels. (A) Transdermal potential at a skin location 0.11 m caudal from the tip of the fish's head (point A in inset) for three different conditions: background alone (green), the background and prey (blue), and prey alone (red). Background objects are as in Figures 3 and 4. The spacing between the individual objects in the background is 0.03 m; the lateral distance of the background is 0.05 m from the midline. The lateral distance of the prey object (as in Figure 4) is 0.008 m. (B) Same as in panel (A) except for a larger interobject spacing (0.06 m) in the background. (C) Same as in panel (A) except that the background objects are randomly spaced, as shown by the inset, with same mean spacing as (B). (D–F) Same as the upper panels (A–C, respectively) except that the transdermal potential is shown for a skin position 0.085 m caudal from the tip of the fish's head (point B in inset). doi:10.1371/journal.pcbi.0030038.g005 Figure 5A and 5B suggests that as the objects within the background are increasingly separated, the prey will be less distinguishable. We confirm these observations in terms of a signal-to-noise ratio (SNR) of prey signal versus background (see Materials and Methods). The SNR decreases with increasing interobject separation in the background (Figure 6; left axis, blue trace). For reference, we can compare this situation with the expected discriminability of two individual objects (see Materials and Methods),
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where the electric image components due to each object become increasingly distinct as the objects are moved apart (Figure 1B; Figure 5C: right axis, green trace). This applies to the case of two prey-like objects in the absence of background, as in Figure 1A and 1C and Figure 2, as well as to the case of two background-like objects. In a more natural context, the blurriness of the electrosense interestingly has the effect of enhancing sensory performance. And indeed, this should apply to a wide range of electrosensory landscapes, as blurriness will be unaffected by small changes in object conductivity (Figure 2C and 2D).
Figure 6. Prey Detectibility and Background Sparseness (Left axis, blue trace) SNR ratio between the prey and background transdermal potential time series and the background-only time series (i.e., between blue and green traces in Figure 5A; see Materials and Methods for more details). Each point represents the mean SNR of ten locations (over an ~0.01 m–wide patch of skin) centered 0.05 m caudal from the tip of the fish's head. SNR is shown as a function of interobject spacing of the background. (Right axis, green trace) Theoretical discriminability (see Materials and Methods) between two background-type objects as a function of their spacing, using the same object size (2-cm diameter) and lateral distance (0.05 m) as in Figure 5. doi:10.1371/journal.pcbi.0030038.g006 Discussion The extraction of small environmental signals is a problem faced by all sensory systems. The mechanisms by which this problem is solved have been studied extensively, not only in the human senses, but also in sensory modalities unique to other species [28,31]. Indeed, the electrosensory system exhibits many parallels with other senses, including human vision and audition [11,32], but we know relatively little about small-signal extraction and the spatial resolution of this modality. Here, we have considered these aspects of electrosensory processing in terms of the primary sensory input as a first step toward understanding acuity and object detection at the behavioral level. Electroacuity Measurement
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Many recent studies have contributed to our understanding of electrosensory scene analysis [9,26,27,33,34]. In particular, Rother et al. [12] have shown that the electric image due to two objects is the result of complex interactions between the effects of each object. To extend these studies in the context of object discrimination, we have introduced the notion of electroacuity. This measure, comparable to the notion of visual acuity, has helped us quantify the “sharpness” of the electrosense in the spatial domain. Studies have suggested that this was a rather “rough” sensory modality [7,14], and our findings, in terms of the sensory input, confirm this quantitatively. For example, we found that two prey-like objects located within the range of natural prey detection (which is typically less than 20 mm, [17]), must be separated by 9 mm for the electric image to show features of both objects (Figure 2). We characterize this limit by the quantity Smin, analogous to the psychophysical notion of the just noticeable difference and the Rayleigh criterion in optics (see Materials and Methods). Electroacuity is much lower than human visual acuity [35]. In contrast, the electrosense fares much better when compared with tactile two-point discrimination in humans, where thresholds are as high as 50 mm in some body locations [36,37]. The magnitude of Smin will increase with the disparity in both the image amplitudes and widths for the two objects. It will also be influenced by nonlinear effects between image amplitude and image width for close pairs of objects (which our simulations implicitly capture), but we have not systematically investigated them here (but see [12]). That said, to a reasonable approximation, Smin is proportional to the normalized width of the image due to each of the objects (see Materials and Methods). Figure 2B shows that for locations in the rostral half of the fish, Smin changes relatively little. This interesting feature is primarily due to the uniformity of the field in this range: the current lines are nearly perpendicular to the fish body axis. The field uniformity is a result of the spatial filtering effects (smoothing) due to the tapered body shape [9,10,38]. This means that the spatial extent of an object's influence on this field (image sharpness) will be relatively constant. For locations closer to the midbody, the field lines are more concentrated (i.e., the field is not as uniform as for more rostral locations), so the influence of the object is more focused. The image amplitude also increases in this range of body locations (Figure 1B; Figure 5 of [9]), further contributing to a sharper image. However, as outlined in detail in Materials and Methods, although the image amplitude increases, then decreases, in the rostro-to-caudal direction [9], Smin is determined by image sharpness (normalized image width) and is much less sensitive to absolute amplitude (Figure 2B, compare red and green traces). In terms of the quality of sensory input, our results reveal a point of optimal electroacuity located in the fish's midbody. This is in contrast to the notion that optimal discrimination should occur near the fish's head region, the electrosensory fovea, which has the highest density of electroreceptors [21]. However, determining acuity in the head region is a complex task due to a number of factors. For example, some enclosed environments can interact with this geometry and produce an electric “funneling” effect that increases the local field amplitude and enhances object discrimination [39,40]. Although these studies were performed on a different species of electric fish (pulse-type discharge) with a different electric organ morphology, a detailed investigation of the head region in A. leptorhynchus (the species we consider here) is still warranted. This will, however, require a more complicated 3-D model, so determining how the electric field, body geometry, and receptor density combine to determine electroacuity in the electrosensory fovea is not possible at this time. Nevertheless, on the lateral body surface, the combination of body geometry and current density are such that electric images are sharpest in the midbody [9], thus allowing the objects to be closer in that region before their electric images blur and form a single peak. This apparent tradeoff between more receptors rostrally and higher-quality images caudally may explain why prey detection occurs at approximately equal rates over all rostro–caudal locations [17]. An additional consideration, which again points to interesting future research, is that our current model does not account for the electric field dynamics that could in principle cause midbody acuity to vary over
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the electric organ discharge cycle. It is possible, for example, that the lowest Smin seen here in the midbody region may shift to other locations for other phases of the cycle, due to the spatial variation of the field in time [38]. In a strict sense, the values we obtain for Smin can be considered as an upper-bound limit on spatial acuity, since various noise sources would undoubtedly result in lower acuity at the behavioural level. However, there are additional cues available from the electric image, and potentially from other sensory modalities, which could help distinguish adjacent objects, and hence increase acuity. Specifically, the electric image produced by two objects is still wider than the image of one of the objects alone, even when their individual peaks are not discernable (see Figure 1C). Moreover, we have only considered two adjacent objects located in parallel with the fish's contour. Indeed, different criteria are required to measure the discrimination of objects that are situated one-behind-the-other (i.e., perpendicular to the fish's contour). Rother et al. [12] have studied such object locations, but not in the context of spatial acuity. We have shown that electroacuity did not vary with object conductivity. This implies that the fish's ability to resolve two equally sized, equally conductive objects is the same, regardless of whether these objects are animate or inanimate. However, it is possible that the addition of environmental noise to the electric images would make one of these types of objects more “resolvable,” as the SNR would be greater for high-conductivity objects. Water conductivity, on the other hand, does (slightly) affect Smin. Our results are in accord with other findings, which state that object detection is best-achieved in low-conductivity water [17,41,42], confirming the notion that increased water conductivity acts as a type of electrosensory “fog.” To resolve all of these issues, further behavioral experiments are required. Our current studies using a 2-D electric field model [9] have generated many hypotheses to test in such experiments. Despite the fact that the 2-D model very accurately reproduces many spatial aspects of the electric field [9], ultimately a more detailed 3-D model of the time-varying electric field will be necessary. Measuring electroacuity (behaviorally) in these fish could be accomplished by using a forced-choice experimental paradigm. In this task, the fish could be trained to choose between a single object and a pair of objects, with a reward given for the choice of the latter. An estimate of electroacuity could be obtained by tracking the accuracy of the choices as the interobject distance was decreased (see [33,43,44] for similar protocols). Prey Detection in Weakly Electric Fish Weakly electric fish are subject to a wide range of stimuli in natural electrosensory landscapes. Large conducting boundaries, such as rocks or the river bottom, constitute extensive background clutter [27]. The fish therefore has the challenging task of extracting small prey signals from enormous background ones. To investigate this scenario, we have modeled a plant-like background. We have shown that, as this background increases in width, the electric images produced on the fish's skin converge (i.e., the images are blurred). In fact, the image is not much different for background arrays ranging from 0.18 m to 0.3 m wide. In the presence of such a large-background image, the Smin for prey objects would be much larger than for the conditions we have considered thus far, and may in fact be defined only for much larger objects. In other words, as discussed in the following, the electric image component due to the background obscured that due to the two small prey-like objects. Figure 4 clearly indicates that the effect of a prey is miniscule in the presence of a relatively large-background array. Even at different times during a simulated scanning behavior, the prey only affected the image due to the background by a few percent at most. This suggests that for any static “snapshot” the fish would not be able to extract the prey signal from the large-background signal. On the other hand, weakly electric fish are known to detect minuscule signals under some laboratory conditions [17,45], and presumably can do so in the wild while hunting. We suggest that movement is required in these situations. In fact, due to the blurring effect, the background component of the electric image does not change with fish scanning, whereas the prey component does (see Figure 4B). As a
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consequence, the small-prey signal is revealed during the scanning motion by looking at the transdermal potential at individual locations on the fish's body (Figure 5A and 5D). In contrast, when background objects are more separated, the prey signal remains confounded by the background (Figure 5B, 5C, 5E, and 5F). The separation of small signals from background is a universal problem in sensory processing. In vision, the so-called figure-from-ground separation has been extensively studied; luminance and contrast differences between figure and ground provide information-rich cues for this task. In the absence of such cues, however, relative motion (due to figure, background, or observer motion) can provide information that is critical for effective figure-ground separation [29,46]. Motion of an auditory stimulus can also provide cues for sound-source localization in a noisy background [47,48]. Though the particular mechanisms involved in each sense may differ [47], both rely on coherent changes in stimulus parameters (spatial correlation in vision, systematic sweep of interaural time delays in audition). Similarly, we have shown that motion can also lead to small-signal detection in an electrosensory landscape under certain conditions. When the constituent objects of a complex scene are close enough to each other to result in a blurred (spatially uniform) image, a small spatially localized prey signal will pop out due to motion cues (and without motion the prey signal is masked by the large background). On the other hand, to evaluate the specific features of a scene, a greater spacing among constituent objects is required (see Figure 6). Electrosensory Processing It is important to note that we have only considered the information available to the electrosensory system and have not considered the potential for extracting this information. Information encoded by individual electroreceptor afferents will be pooled in the hindbrain electrosensory lateral line lobe (ELL). Here, the principle neurons, ELL pyramidal neurons, have receptive fields that vary systematically in size across three somatotopic maps. The largest of these receptive fields (lateral segment map) are about 2 cm in width along the body axis of the fish; the smallest receptive fields (centromedial segment map) are about 0.5 cm in width [26,49]. As previous studies have shown, the different maps may take on different roles depending on the type of information available [26,50]. In the context of this paper, the most focused images due to nearby prey objects may be preferentially encoded using pyramidal neurons of the centromedial segment (smaller receptive fields), and the more blurred images due to background objects may be encoded by neurons of the lateral segment (larger receptive fields). In addition, there are mechanisms in the ELL (via feedback pathways) that can cancel out predictable or redundant stimuli [51,52]. In principle, when the background is spatially uniform (blurred), such feedback mechanisms could cancel out the large-image component due to the background and further enhance small signal extraction during scanning. Recent studies on the signal processing features of ELL neurons have shown that coherence to spatially global time-varying input is high-pass [53], suggesting again that responses to spatially dense backgrounds can be filtered out. Information encoded by ELL neurons is transmitted to higher-order neurons of the midbrain. Recent studies have described plasticity and motion sensitivity in these neurons [24,54], but further studies will be required to determine how these neurons contribute to the computations involved with prey detection and discrimination in complex landscapes. Conclusion It has been widely hypothesized that the stereotypical back-and-forth scanning behavior exhibited by weakly electric fish could be used to generate electrolocation cues [25,55,56]. In fact, cues obtained by self-motion are used by many different animals to extract relevant sensory features [28]. For example, primates move their fingers laterally to detect fine features in textured surfaces, which would otherwise go unnoticed [57]; rodents perform whisking behaviors [58]; and insects, such as mantids, can obtain information about an object's depth using a side-to-side “peering” movement (by means of motion parallax cues; [59]). Such examples have led to the reasonable notion that the exploratory behaviors
Page 69 of 109
exhibited by weakly electric fish, such as the aforementioned scanning, act similarly to provide relevant information from complex electrosensory scenes. Our study describes the nature of these motion-generated cues for the first time, and indeed shows that their effectiveness depends on context. In particular, our results predict that weakly electric fish should exhibit the specific search behavior that is most suitable for signal extraction in a given context. The scanning behavior would be best suited for spatially dense or uniform backgrounds, whereas the fish might preferentially use tail-bending in cases where the background is sparse (as in Figure 5B, 5C, 5D, and 5F where the prey component is confounded with the background signal). In future studies, we aim to determine which behaviors are used most frequently by the fish to explore electrosensory landscapes with varying spatial characteristics. Materials and Methods The 2-D electric field of a 21-cm A. leptorhynchus was simulated using a finite-element–method model described previously in [9]. Briefly, the model reproduces the field measured at one phase of the quasisinusoidal electric organ discharge. It consists of three components: an electric organ (EO), a body compartment, and a thin skin layer. The EO current density and the conductivities of the three components were optimized using raw data provided by Christopher Assad [38]. The optimized EO current density is spatially structured; as compared with a simple dipole, it is skewed toward the tail. Such a profile in the EO current density, as well as the spatial filtering due to the tapered body shape, reproduces the asymmetric “multipole” electric field [9,10,27]. To distinguish this situation from that of a simple dipole, we sometimes refer to the fish's electric field as “dipole-like.” This model is a 2-D simplification that is static in time, and so, in principle, any results derived from it are qualitative. It is important to note, however, that the model provides a quantitatively accurate representation of the data measured in the horizontal plane [9], and thus should be very reliable. Of course, as we note in the Results and Discussion sections, there are some questions that will require a detailed time-varying 3-D model. Electric images were calculated in one of two ways using custom MATLAB subroutines. In Figures 1–4, images are defined as the differences in transdermal potential, with and without objects present (this has become the standard definition of an electric image, [5]). In Figure 5, images are displayed as the raw transdermal potential, the natural electrosensory input. All images are shown only for the side of the fish body closest to the objects. Water conductivity was set to 0.023 S/m, as in [38]. The prey chosen, Daphnia magna, was modeled as a 3 mm–diameter disc with a conductivity of 0.0303 S/m, as in [15,17]. The background objects (2-cm discs) simulated throughout this paper were based on the conductivity of the aquatic plant Hygrophilia [22] (0.0005 S/m). The goal was not to mimic the plant's geometry accurately, but rather to get a general idea of the effects caused by varying backgrounds with plant-like conductivity and size. To estimate the fish's ability to resolve two distinct objects (electroacuity), the minimal distance Smin was calculated. This measure is the interobject distance, which delimits an electric image with one peak from one with two peaks (for example, see Figure 1C). This quantity depends on a number of parameters such as the object's size, its rostro–caudal and lateral location, and the water conductivity. We can develop more intuition for how Smin behaves assuming that images of objects are idealized Gaussians. Consider two Gaussians along the x-axis, of similar standard deviation δ and amplitudes, but centered on μ1 and (-μ1 ), respectively. Assuming linear superposition, their sum along the x-axis will have one or two maxima, depending on the relation between the standard deviation and the mean, i.e., on the relative width. It can be shown that Smin in this case corresponds to (2δ). If the amplitudes of the Gaussians change in the same way, as they do when the object is closer to the fish, Smin remains the same; it will increase, however, if there is disparity in the amplitudes. Smin will also increase with increasing image width. Although this provides some insight on the behavior of Smin, it is important to note that linear superposition is not valid in general (for example, see Rother et al. [12]). Also, all of the
Page 70 of 109
images we show are computed using our model, which can accommodate arbitrary object combinations. In no cases do we assume linear superposition of images due to individual objects. For a given pair of objects, the rostral object's center coordinates were chosen as the spatial location for which the Smin was determined. Therefore, this object was held stationary during a given Smin measurement. The caudal object was moved systematically in the caudal direction until two distinct peaks appeared in the electric image (object center-to-skin distance was kept constant). Using this technique, Smin measurements were accurate to within 0.5 or 1 mm, representing the chosen sampling (see error bars in Figure 2). In the last part of the paper, where fish motion is simulated, a scanning speed of 0.1 m/s was chosen, which is in the range of measured weakly electric fish scanning velocities [45,56]. For quantifying the SNR between the two different transdermal potential time series (Figure 5, green and blue curves), i.e., the ones produced by the background alone (Φ back) and by the background and prey (Φ back+prey), a root-mean-squared difference measure was used (Equation 1):
where n represents the number of different fish locations that were simulated, i.e., samples of the transdermal potential at a given body location during a 1-s scan (we chose n = 21). A large SNR value means that the two time series are very distinct. We have also quantified the discriminability of two objects as they are separated (Equation 2). Here, we assumed that the separate (simulated) electric images generated by each object is a spatial Gaussian function (along one dimension; each of mean μi and width δi) and have computed the discriminability d’ [60,61]:
Page 71 of 109
Review of the literature of methods of SCIO
transcutaneous voltammetric evoked
potential (TVEP)
Intro:
There are many processes for the manufacture of small sensors with reproducible surfaces,
including electrochemical sensors. The conductive material can also be formed on the person’s
skin (transcutaneous) by many conductive methods. In the Electro-Physiological Feedback
Xrroid (EPFX) aka SCIO the sensors or electrodes are a carbon (graphite) impregnated polymer
to allow equal availability of electron flow. The EPFX was registered for reactivity measures,
stress reduction and muscle
measures in 1989 in America.
Since the system has been
registered world wide as a
medical device. The system
can measure the reactions of a
patient to an applied
voltammetric signature.
These signatures come from the
QQC voltammetric patterns. (see
QQC
www.voltametriaqqc.ro)
The EPFX SCIO TVEP then can calculate the reaction and display the reaction scores.
This article will serve as a literature review of current philosophy and utilization of the many
techniques of transcutaneous voltammetry TVEP as a basis of our patent application.
TVEP
Page 72 of 109
CO2 sensors/ transmitters
calibration-free low-cost infrared sensor for HVAC and OEM application www.senseair.com
Sterile Techniques
Improve Sterile Techniques Via New Cleaning SOP. See How & Try Samples www.Foamtecintlwcc.com
Oxygen Analyzers
Extremely Accurate and Easy To Use For Nitrox and Air Quick Checks www.Nuvair.com
Micron Optics, Inc
Fiber Bragg Grating monitoring systems for optical sensing www.micronoptics.com
Baumer Electric Sensors
Your Source for Baumer Sensors! Call for Support, Price & Delivery. www.connectorconcepts.com
Maitreya
Your Source for EPFX / SCIO! Call for Support, Price & Delivery. www.maitreya.com
Representative Image of the EPFX/SCIO:
Inventors:
Nelson W.C.
Sirbu C.P.
Plaque It!
Application Number:
OSIM Of Romania
M/11506
Publication Date:
Filing Date:
10/17/2006
View Patent Images:
Export Citation:
Assignee:
SCIO International, Oradea, Romania
Primary Class;
44: Service Medicale
Other Classes:
427/80, 29/592.100, 361/283.200, 156/73.100, 29/417, 361/283.100, 216/65, 427/79, 29/831,
29/846
International Classes:
C12Q1/00; G01N33/543; G01R3/00
Field of Search:
29/846, 29/831, 29/595, 156/73.1, 427/79, 29/417, 29/592.1, 361/301, 361/283, 216/65, 427/80
US Patent References:
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Serotonin (5-HT) released by activated white blood cells in a biological fuel cell provide a potential energy source for electricity generation Justin, Gusphyl A. Sun, Mingui Zhang, Yingze Cui, X. Tracy Sclabassi, Robert Student Member, IEEE, Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA. email: [email protected];
This paper appears in: Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International
Conference of the IEEE
Publication Date: Aug. 30 2006-Sept. 3 2006
On page(s): 4115-4118
Location: New York, NY,
ISSN: 1557-170X
ISBN: 1-4244-0032-5
Digital Object Identifier: 10.1109/IEMBS.2006.259280
Current Version Published: 2008-03-05
Abstract
Previous studies by our group have demonstrated the ability of white blood cells to generate small electrical currents, on the
order of 1 - 3¿A/cm2, when placed at the anode compartment of a proton exchange membrane (PEM) biological fuel cell.
In this research study, an electrochemical technique is used to further investigate the electron transfer ability of activated
white blood cells at interfacing electrodes in an attempt to elucidate the mechanism of electron transfer in the original
biological fuel cell experiments. Cyclic voltammograms were obtained for human white blood cells using a three-electrode
system. The working and counter electrodes were made from carbon felt and platinum, respectively, while the reference was
a saturated calomel electrode (SCE). Oxidation peaks were observed at an average potential of 363 mV vs. SCE for the
PMA/ionomycin activated white blood cells in glucose solution. However a corresponding reduction peak was not observed,
suggesting irreversibility of the redox reaction. The cyclic voltammograms recorded for the white blood cells bear very close
similarities to those of the neurotransmitter serotonin (5-HT). Serotonin released by white blood cells into the extracellular
environment may be irreversibly oxidized at the working electrode in the cyclic voltammetry experiments and at the PEM
biological fuel cell anode in our earlier electrochemical cell studies.
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