Microsoft Research Faculty Summit 2007

John A. Stankovic BP America Professor, UVA Microsoft Corporation

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

Home health care

(Large scale) assisted living facilities

Home health care (Large scale) assisted living facilities Flexible targeting of care to a persons health condition Longitudinal studies

Assisted Living and Residential Monitoring Network

InternetInternet Internet Nurses Stations

With Harvard

With MARC UVA Medical School

* With the Univ. of Illinois

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

InternetInternet Internet PDAs Nurses Stations Dust Light Pollen Humidity Temperature Motion Activities

InternetInternet Internet Nurses Stations Privacy Security

Patients Patients family and friends Doctor – what advantages for them in treating patients Nurse Technician Orderly Admin Social Worker

Personal medical data Personal activity data Environmental data Contextual data Longitudinal data System Performance data

Real- Time

InternetInternet Internet Privacy Security InternetInternet Nurses Stations

AlarmGate SW on stargate DBDB

InternetInternet Internet Privacy Security Nurses Stations

Circadian activity rhythm per room for 70 days

Life Habits at-home Learning period Diurnal/nocturnal activity

Support for heterogeneous health care systems Utilize Cell phones BlueGate, WiGate, EtherGate Unobtrusive body networks Behavior based systems management Exploiting circadian activity rhythms

Blood Pressure Sensor, ECG, … Blood Pressure Sensor, ECG, … WiGateGatewayWiGateGateway PC, DB, AlarmNetBackend AlarmNetBackend PulseOximeterPulseOximeterSmartphoneSmartphone BlueGateGatewayBlueGateGateway POGAPOGA StarGateGatewayStarGateGateway EtherGateGatewayEtherGateGateway SeeMoteSeeMote AlarmNet HealthGear Bluetooth IEEE WiFi, Ethernet Alarms Any Data

Bluetooth IEEE AlarmNet HealthGear WiFi, Ethernet PulseOximeterPulseOximeterSmartphoneSmartphone Motion, LightBPScaleTripwirePulse, SpO2 Dust ECGSwitchEnvironmental SeeMote WiGate BlueGate

Bluetooth to MICAz, , 2.4GHzRF Bluetooth to MICA2, 4xx/9xx MHz RF WiGate to WiFi (802.11b/g) EtherGate to wired Ethernet with POE NordGate Nordic RF (ECO mote, Poga2) to and/or Bluetooth

Classify and detect ADLs - accelerometer Two versions Tmote-Mini based – 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) RF, MCU, Accl. Li Ion Battery AntennaAntenna Main board

Activity pattern inference Through Circadian Activity Analysis Activity pattern inference Through Circadian Activity Analysis Detection of irregular behaviors and anomalies Detection of irregular behaviors and anomalies Alerts and Messages for the caregivers Alerts and Messages for the caregivers Base Station Motion sensors Other Sensors Motion sensors Other Sensors Detection of multiple people Detection of multiple people Sensor networkBackbone Context Aware PowerManagement(CAPM) PowerManagement(CAPM) UserIdentificationUserIdentification

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

AlarmNet Privileged applications One administrative domain MetroNet Public information Many administrative domains Must support Privacy Mobility Data annotation

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

Microsoft Univ. of Virginia Medical School Harvard: (some) body networks Johns Hopkins: Triage mote Univ. of Illinois: Smart clothing

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