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Biomedical Sensor Networks

Biomedical Sensor Networks. By: Krupesh Patel. Table Of Contents. Introduction Background Challenges of Biomedical Sensor Networks(BMSN) Applications Current Work Future Work Conclusions. Introduction. Life Span increases steadily

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Biomedical Sensor Networks

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  1. Biomedical Sensor Networks By: Krupesh Patel

  2. Table Of Contents • Introduction • Background • Challenges of Biomedical Sensor Networks(BMSN) • Applications • Current Work • Future Work • Conclusions

  3. Introduction • Life Span increases steadily • Problem- Right Now How you feel is the biggest indicator of health (outside hospital). • Idea – How can technology make healthcare more automated and transparent? • Solution – Imagine tiny sensors that could sense problems before you can and other machines that could fix the problem before it exists.

  4. Background • What is a Sensor Network (SN)? • What makes BMSN different from SN? • For use in animals • Predetermined Topology • Renewable Energy • Still Energy efficient • Time remaining (Power-wise) for nodes should be uniform in system

  5. Challenges • Everything needs to be remapped for use in animals. From mote design to routing algorithms. • System needs to be: • Reliable • Predictable • Safe (number one concern) • Long Lasting

  6. Challenges (cont.) • Mote Design • Reliability/Predictability • Mote Robustness • Mote Testing • Long Lasting (Rechargeable) • Safety • Bio-Materials (Synthetic Polymers, Metals, Ceramics) • Size + Shape • A word on Heat (Dissipation, Recharging, Communication)

  7. Challenges (continued) • Routing • TDMA – Allows for a predetermined time slot for communication (Reliable, Predictable) • This algorithm needs to be modified to keep in mind each node needs to have the same time remaining • Network is predetermined statically outside of the body but still needs to handle node failures (robustness of network)

  8. Applications • Glucose monitor • Drug + Insulin monitoring and delivery (no more overdosing or under dosing) • Artificial Retina • Cancer Monitor (Nitric Oxide) • Transplant Organ monitor • General Health Monitor

  9. Current Work • Best Topology (3D , 3-4 Neighbors, Clustering) • Negative of Clustering (un-uniform recharge) • Recharging • Light • Kinetic energy • Induction • Passive Sensors with induction

  10. Current Work (continued) • Security • Problem - Safety and Confidentiality of Patient • Solution – Mapped from other security issues of embedded personal devices (Bluetooth) • Clustering may help solve problem because bigger more robust nodes can handle ciphering and deciphering messages

  11. Future Work • FDA puts aside a BMSN Transmission Band • FDA starts allowing human testing • Smaller better motes • Smaller better more all encompassing sensors • Mote energy efficiency • Mapping from other fields (based on trends)

  12. Conclusions • Biomedical Sensor Networks are starting to be deployed • As the technology becomes better BMSN will become more plausible and more accepted • World will become a better place to live • Increases Quality and Length of life for all man kind

  13. Questions

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