forecasting epilepsy from the heart rate signal
DESCRIPTION
Forecasting epilepsy from the heart rate signal. Noa Braverman. Introduction. potential seizure detector EEG as brain-state mirror instantaneous heart rate ictal (sinus)tachycardia. Introduction cont. the brain-heart axis Vagus Nerve The existence of pre- ictal phase. - PowerPoint PPT PresentationTRANSCRIPT
Noa Braverman
Forecasting epilepsy from the
heart rate signal
Introduction
potential seizure detectorEEG as brain-state mirrorinstantaneous heart rateictal (sinus)tachycardia
Introduction cont.the brain-heart axis
Vagus Nerve
The existence of pre- ictal phase
Introduction cont.This study
Forecasting seizuresPartial complex – humansGeneralized - rats
Novel method for HRV analysisPh.D. D.H.KeremPh.D. A.B.Geva
Known Methods Spectral analysis of the time series of R-R intervals non-linear dynamicsshortcoming -
inability to account for non-stationary states and transients
Known Methods cont.time-varying power spectral density
estimation
Attractors and correlation dimensions
Karhunen-Love transform-based signal analysis method
Fuzzy clustering approachcomet or torpedo-shaped
unsupervised method advantage
Chosen methodEEG-contained information of HRV.
(GEVA and KEREM, 1998)
an unsupervised method designed to deal with merging and overlapping states
ability to spot and classify
Data resourcesHumans RatsHumans
21 patients records, archived records
The recording machinerysimultaneous EEG
and video recordingECG channelvisual inspection by
an EEG expertThe actual database
RatsHyperbaric-
oxygenECG and EEG
filtering and recording
Rats effectsTime period
analyzingControl rats Vs.
research rats
Method cont.Choice of analysis parameters
|∆RRI| Vs. RRIembedding dimension NFor this experiment –
Both featuresN = 3
number of clusters
Method cont.Forecasting criteria
AppearanceDisappearanceDominant
False negative - False positive
ResultsHumans RatsSuccessful
forecastingTachycardia period
success rate 86%
|∆RRI| Vs. RRIforecasting times
1.5-11 min.
Successful forecastingBradycardia period
success rate 82%
|∆RRI| Vs. RRIforecasting times
2.5-9 min.
Results cont.Humans Ratsprediction
failuresfalse negative
One casefalse positive
Two casesLonger records
prediction failuresfalse negative
nonefalse positive
Two casesIgnoring changes
shown in control rats
Discussioninformation in the pre-ictal ECG signal
HRV Time-Frequency analysis by NOVAK
pre-ictal statetime-frequency forecasters
Records length
Discussion cont.the sleeping state
Alerting systems
generalized seizures forecasting
Individual opinion
Next step – Testing State-rely data
Non-arbitrary patient selectionAge specific
Any Questions?