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SURVEY FOR WIRELESS SENSORS IN HEALTHCARE. Presented by Bharat Soundararajan. OUTLINE. INTRODUCTION PROPOSED PROBLEMS NETWORKS FOR HEALTHCARE MEDIC AND ITS ALGORITHM DIFFERENT TYPES OF TOPOLOGIES FUTURE . INTRODUCTION. Patients need continuous monitoring of their health conditions

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survey for wireless sensors in healthcare

SURVEY FOR WIRELESS SENSORS IN HEALTHCARE

Presented by

Bharat Soundararajan

outline
OUTLINE
  • INTRODUCTION
  • PROPOSED PROBLEMS
  • NETWORKS FOR HEALTHCARE
  • MEDIC AND ITS ALGORITHM
  • DIFFERENT TYPES OF TOPOLOGIES
  • FUTURE
introduction
INTRODUCTION
  • Patients need continuous monitoring of their health conditions
  • Various vital and health care

data are collected using

sensors and sent to the

hospital

proposed needs
Proposed Needs
  • Low complexity
  • Low cost
  • Data reliability
  • Low power consumption
medic
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
medic1
MEDIC

MEDICAL

PERSONAL

INTERNET

ZIGBEE

or

BLUE TOOTH

what is zigbee
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. 
what is zigbee1
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.
bayesian network algorithm
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
bayesian network algorithm1
BAYESIAN NETWORK ALGORITHM

DISEASE

PULSE RATE

OXYGEN LEVEL

BODY TEMPERATURE

BLOOD PRESSURE

problem with multihop
PROBLEM WITH MULTIHOP

Cluster Tree

PAN coordinator

Full Function Device

Reduced Function Device

timezone coordinated sleep scheduling algorithm ticoss
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
topology models
Topology Models

Mesh

Star

PAN coordinator

Full Function Device

Cluster Tree

Reduced Function Device

topology models1
TOPOLOGY MODELS
  • It manages all the sensors inside the network
  • It collects information from all the nodes and forwards it to the centralized server
topology models2
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

future
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.
references
References

1. MEDIC: Medical embedded device for individual careAuthors: Winston Wu, Alex A.T.bui, Maxim A.batalin, Lawrence K.Au,Jonathan D.Binney, William J.kaiserPublished by: Elsevier Science Publishers Ltd, Essex, UK in 20082. Energy Efficient Multihop medical sensor networkingAuthors: A. G. Ruzzelli,  R. Jurdak, G. M.P O'Hare, P. Van Der StokPublished by: ACM Newyork Ny, USA in 20073. An integrated wireless sensing and mobile processing architecturefor assisted living and healthcare applicationsAuthors:  S.Dagtas, Y.Natchetoi, H.WuPublished by: ACM Newyork Ny, USA in 20074. Wearable FPGA based Wireless Sensor platformAuthors: Tom Ahola, Pekka Korpinen, Juha Rakkola1, Teemu Ramo, JukkaSalminen and Jari SavolainenPublished by: IEEE EBMS in 20075. Low-cost wireless sensor networks for remote cardiac patientsmonitoring applicationsAuthors:  Fei Hu, Meng Jiang, Yang XiaoPublished by: Wireless Communications and Mobile Computing (WileyInterScience Journal), (to appear), March 2007.

6. Reconfigurable Point-of-Care Systems Designed with InteroperabilityStandardsAuthors: Steve Warren, Jianchu Yao, Ryan Schmitz, and Jeff LebakPublished by:  IEEE EMBS in 20047. Patient monitoring using infrastructure-oriented wireless LANsAuthors: Upkar VarshneyPublished by: International Journal of Electronic Healthcare, 2006 8. Body Area Network and Its Standardization at IEEE 802.15.MBANAuthors: Huan-Bang Li, Ken-ichi Takizawa, Bin Zhen, Ryuji KohnoPublished by: National Institute of Information and Communications Technology9. Vmote-II, A biowearable health monitoring systemAuthors: Masilela, M.   Hughes, E.A. Boanca, C. Merrell, R.RafiqPublished by:  Information Technology Applications in Biomedicine, 2007. 10. Wearable Laser Blood Flow meter for Ubiquitous HealthcareAuthors: Kiyokura,  Tatara N.,   Shimada. J.,   Haga.T.Published by:  NTT Microsyst. Integration Lab, Kanagawa