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Microsoft Research Faculty Summit 2007

Microsoft Research Faculty Summit 2007. Dust To Doctors: WSN For Assisted Living. John A. Stankovic BP America Professor, UVA Microsoft Corporation. Outline. Problems of interest Univ. of Virginia AlarmNet Microsoft interactions HealthGear SensorMap Summary. The 4 Main Problems.

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Microsoft Research Faculty Summit 2007

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  1. Microsoft Research Faculty Summit 2007

  2. Dust To Doctors:WSN For Assisted Living John A. Stankovic BP America Professor, UVA Microsoft Corporation

  3. Outline • Problems of interest • Univ. of Virginia AlarmNet • Microsoft interactions • HealthGear • SensorMap • Summary

  4. The 4 Main Problems • Home health care

  5. Smart Living Space

  6. The Problems • Home health care • (Large scale) assisted living facilities

  7. Large Scale Deployments

  8. The Problems • Home health care • (Large scale) assisted living facilities • Flexible targeting of care to a person’s health condition • Longitudinal studies

  9. AlarmNet • Assisted Living and Residential Monitoring Network

  10. AlarmNet Architecture Internet Internet Nurses Stations

  11. With Harvard

  12. With Harvard

  13. With MARC UVA Medical School

  14. SATIRE * With the Univ. of Illinois

  15. SATIRE • Activity of daily living classification • Five two-axis accelerometer network for classifying activities with a HMM

  16. AlarmNet Architecture Dust Light Pollen Humidity Temperature Motion Activities PDAs Internet Nurses Stations Internet

  17. AlarmNet Architecture Privacy Security Internet Nurses Stations Internet

  18. Privacy – Stakeholders • Patients • Patients family and friends • Doctor – what advantages for them in treating patients • Nurse • Technician • Orderly • Admin • Social Worker

  19. Privacy - Many Data Types • Personal medical data • Personal activity data • Environmental data • Contextual data • Longitudinal data • System Performance data

  20. Authorization Framework Real- Time

  21. AlarmNet Architecture Privacy Security Internet Nurses Stations Internet Internet

  22. DB PDA Real-Time Queries AlarmGate SW on stargate

  23. Sensor Data Graphs

  24. AlarmNet Architecture Privacy Security Internet Nurses Stations Internet

  25. Circadian Rhythms Circadian activity rhythm per room for 70 days

  26. BehavioralDeviation Diurnal/nocturnal activity Life Habits at-home Learning period

  27. HealthGear And AlarmNet • Support for heterogeneous health care systems • Utilize Cell phones • BlueGate, WiGate, EtherGate • Unobtrusive body networks • Behavior based systems management • Exploiting circadian activity rhythms

  28. Enabling Symbiosis OfHeterogeneous Health Care Systems Pulse Oximeter Smart phone HealthGear Alarms Any Data Bluetooth BlueGate Gateway POGA WiGate Gateway Blood Pressure Sensor, ECG, … EtherGate Gateway PC, DB, AlarmNet Backend AlarmNet SeeMote StarGate Gateway IEEE 802.15.4 WiFi, Ethernet

  29. Pulse, SpO2 Tripwire Motion, Light BP Scale ECG Switch Environmental Dust Enabling Symbiosis of Heterogeneous Health Care Systems Pulse Oximeter Smart phone HealthGear Bluetooth WiGate BlueGate AlarmNet WiFi, Ethernet IEEE 802.15.4 SeeMote

  30. Gateways For Heterogeneous Sensor Networks • BlueGate • Bluetooth to MICAz, 802.15.4, 2.4GHzRF • Bluetooth to MICA2, 4xx/9xx MHz RF • WiGate • 802.15.4 to WiFi (802.11b/g) • EtherGate • 802.15.4 to wired Ethernet with POE • NordGate • Nordic RF (ECO mote, Poga2) to 802.15.4 and/or Bluetooth

  31. Antenna Li Ion Battery RF, MCU, Accl. Main board POGA – Unobtrusive Body Network Sensor Node • Classify and detect ADLs - accelerometer • Two versions • Tmote-Mini based – 802.15.4 compatible (designed/built) • Fast design time using Tmote module • TinyOS compatible • PHY-compatible with ZigBee • Nordic RF chip based (future work) • Smaller form factor/cost (expected 10x20mm w/o battery)

  32. CAR Based Power Management Alerts and Messages for the caregivers User Identification Detection of multiple people Detection of irregular behaviors and anomalies Context Aware Power Management (CAPM) Motion sensors Other Sensors Activity pattern inference Through Circadian Activity Analysis Sensor network Backbone Base Station

  33. Power Savings

  34. SensorMap • Publishing and searching private data streams • Privacy guarantees • Anonymous aggregates • Quality control for search results • Rank real-time/archived sensor data search results

  35. StreamPublish Tool • AlarmNet • Privileged applications • One administrative domain • MetroNet • Public information • Many administrative domains • Must support • Privacy • Mobility • Data annotation

  36. StreamRank Tool • Rank data streams like PageRank algorithm ranks web pages • All data need not be at central databases • Aggregated streams created by users – can be ranked

  37. Partners • Microsoft • Univ. of Virginia Medical School • Harvard: (some) body networks • Johns Hopkins: Triage mote • Univ. of Illinois: Smart clothing http://www.cs.virginia.edu/wsn/medical/

  38. © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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