• woman checking fitness and health tracking

SMART: Sensing and Mobile Assessment in Real Time

  • Goal: Identify digital phenotypes of suicidal thoughts and behaviors, map the dynamic trajectories of suicidal thoughts and behaviors over time, and identify subjective and objective markers of short-term risk of suicidal thoughts and behaviors
  • Measurement:  
    • 600 patients from MGH (300) and FC (300)
    • Baseline assessment in hospital
    • Followed for 6 months post-discharge to collect fine-grained, real-time data
  • Data Streams:
    • Active Data-Survey responses and meta-data, voice/audio recordings, cognitive tests
    • Passive Data-GPS, accelerometer, gyroscope phone and screen state, WiFi routers, Bluetooth devices, phone call logs, text message logs, magnetometer, proximity
  • Data Flow:
    • Hash and encrypt
    • Store locally
    • Forward to server when data connection
Project Person
Matt Nock