survey for wireless sensors in healthcare presented by bharat soundararajan
TRANSCRIPT
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SURVEY FOR WIRELESS SENSORS
IN HEALTHCARE
Presented by Bharat Soundararajan
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OUTLINE
• INTRODUCTION• PROPOSED PROBLEMS• NETWORKS FOR HEALTHCARE• MEDIC AND ITS ALGORITHM• DIFFERENT TYPES OF TOPOLOGIES• FUTURE
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INTRODUCTION
• Patients need continuous monitoring of their health conditions
• Various vital and health care data are collected using sensors and sent to the hospital
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Proposed Needs
• Low complexity
• Low cost
• Data reliability
• Low power consumption
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Different networks for healthcareWLAN (802.11)
Bluetooth-based WPAN (802.15.1)
ZIGBEE(802.15.4)
Range 100m ~10-100m ~10m
Cost/complexity >6 1 0.2
Power consumption
Medium Low Ultralow
Size Larger smaller smallest
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MEDIC
• Acquire data from patients in real world• It sends data to the centralized server
and the centralized server forwards data to all the nodes
• It can be configured from the remote server
• Wearable sensors to patients for comfort ability
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MEDIC
INTERNET
MEDICAL
PERSONAL
ZIGBEE or BLUE TOOTH
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What is ZigBee??ZigBee technology is a low data rate, low power
consumption, low cost, wireless networking protocol targeted towards health care
Zigbee Alliance introduced Zigbee standard protocol in 2003
ZigBee is a technological standard, based on the IEEE 802.15.4 standard, which was created specifically for control and sensor networks.
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The Zigbee Protocol Stack
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What is ZigBee??
• As can be seen in the figure, IEEE 802.15.4 develops the Medium Access Control (MAC) Layer and Physical (PHY) Layer, which address such things as the frequency and data rate specifications.
• ZigBee develops the Network Layer and Application Layer, which includes the Applications Support Sub layer, the ZigBee Device Object, and the Security Services.
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BAYESIAN NETWORK ALGORITHM
• A set of variables independent of each other• The probability of these variables influence
the output• Symptoms are used to determine whether a
person has a disease• This is trained by the previous data used for
the treatment
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BAYESIAN NETWORK ALGORITHM
DISEASE
PULSE RATE OXYGEN LEVEL BODY TEMPERATURE BLOOD PRESSURE
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PROBLEM WITH MULTIHOP
PAN coordinator
Full Function Device
Cluster Tree
Reduced Function Device
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Timezone CoordinatedSleep Scheduling Algorithm (TICOSS)
• coordinated sleeping through the division of the network into time zones• The time zones also provides coordinated
sleeping, through the V-table scheduling• The scheduling table allocates timeslots to
nodes in order to assign periods of node activity and inactivity
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Topology Models
15
PAN coordinator
Full Function Device
Reduced Function Device
Star
Mesh
Cluster Tree
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TOPOLOGY MODELS
• It manages all the sensors inside the network• It collects information from all the nodes and
forwards it to the centralized server
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TOPOLOGY MODELS
Fully functional device Any topology fits for fully functional device It can also act as a network coordinator, network
router
Reduced functional device It only fits perfectly for reduced functional device It cannot act as a network administrator
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Future???ZigBee is seen as a key technology for home
automation and sensor networks, but its characteristics can be extremely valuable in some healthcare applications as well.
On July 24-27, 2006 in the Free scale Technology Forum, Orlando, FL, the wireless developer Cambridge Consultants demonstrated how ZigBee's unique networking attributes can be exploited to implement networks for healthcare.
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References6. Reconfigurable Point-of-Care Systems Designed with InteroperabilityStandards
Authors: Steve Warren, Jianchu Yao, Ryan Schmitz, and Jeff Lebak
Published by: IEEE EMBS in 2004
7. Patient monitoring using infrastructure-oriented wireless LANs
Authors: Upkar Varshney
Published by: International Journal of Electronic Healthcare, 2006
8. Body Area Network and Its Standardization at IEEE 802.15.MBAN
Authors: Huan-Bang Li, Ken-ichi Takizawa, Bin Zhen, Ryuji Kohno
Published by: National Institute of Information and Communications Technology
9. Vmote-II, A biowearable health monitoring system
Authors: Masilela, M. Hughes, E.A. Boanca, C. Merrell, R.Rafiq
Published by: Information Technology Applications in Biomedicine, 2007.
10. Wearable Laser Blood Flow meter for Ubiquitous Healthcare
Authors: Kiyokura, Tatara N., Shimada. J., Haga.T.
Published by: NTT Microsyst. Integration Lab, Kanagawa
1. MEDIC: Medical embedded device for individual care
Authors: Winston Wu, Alex A.T.bui, Maxim A.batalin, Lawrence K.Au,Jonathan D.Binney, William J.kaiser
Published by: Elsevier Science Publishers Ltd, Essex, UK in 2008
2. Energy Efficient Multihop medical sensor networking
Authors: A. G. Ruzzelli, R. Jurdak, G. M.P O'Hare, P. Van Der Stok
Published by: ACM Newyork Ny, USA in 2007
3. An integrated wireless sensing and mobile processing architecturefor assisted living and healthcare applications
Authors: S.Dagtas, Y.Natchetoi, H.Wu
Published by: ACM Newyork Ny, USA in 2007
4. Wearable FPGA based Wireless Sensor platform
Authors: Tom Ahola, Pekka Korpinen, Juha Rakkola1, Teemu Ramo, JukkaSalminen and Jari Savolainen
Published by: IEEE EBMS in 2007
5. Low-cost wireless sensor networks for remote cardiac patientsmonitoring applications
Authors: Fei Hu, Meng Jiang, Yang Xiao
Published by: Wireless Communications and Mobile Computing (WileyInterScience Journal), (to appear), March 2007.
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THANK YOU