Wearable sensors and mobile applications

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Wearable sensors and mobile applications

  1. 1. Wearable Sensors Human wellness data acquisition and personal analysis Gene Leybzon leybzon@gmail dot com
  2. 2. Wearable Sensor Exposure
  3. 3. Mobile Health Today http://www.behance.net/gallery/Infographic-Mobile-Health-market-snapshot/4468557
  4. 4. Wearable Tech Tomorrow “Thus far, wearable tech has made the greatest initial advances in medical, fitness and military implementations. However, this new industry is on its way to becoming a $6 billion dollar market by 2016” (according to research firm IMS research)
  5. 5. Technology is ready • Data sensors (Vital Data, EEG, EKG, Insulin, Movement recognition, many others) • Mobile device data processing • Blue Tooth Low Energy
  6. 6. Use of Sensor Data • • • • Personal analytics Anomaly detection Trending Prediction
  7. 7. Consumer Applications • Wellness advice • Health monitoring • Early problem detection of notification
  8. 8. Medical Applications • Outpatient care • Home health care • Hospital care
  9. 9. Challenges • Amount of data generated by sensors • What is important? • Agregating data across different sensors
  10. 10. Common Mistakes • • • • • Uploading of all data to the server Uploading only in the medical office Relying on single sensor measurements Ignoring HIPAA Stepping into FDA territory without app approval • BT power drain (before BT LE)
  11. 11. Performing Data Analysis next to sensors • Data filtering on the sensor itself (before getting to the phone) • Algorithms for the mobile device • Uploading only the most critical info to server
  12. 12. Security and Data Protection • • • • PHI and PII What is covered by HIPAA Where FDA steps in How to protectd senitive data
  13. 13. Sensors • Sensors attached to the body • Sensors embedded into the phone • External sensors (like weight scales and body fat sensors)
  14. 14. Smart Sensor Ecosystem • • • • • • • Sensors Sensor discovery Data aggregation and logging Data analysis on mobile device Data upload service Data analysis Messaging/push notifications
  15. 15. Applications • Data analysis on server • Task/activity oriented mobile and web applications • Medical office applications • Caregiver/relatives applications • Analytics applications
  16. 16. Sensor Discovery • Will be many sensors attached to human body • Each sensor is capable of generating several data streams (ex: EKG, temperature, posture) • Multiple sensor measure the same values but precision may vary • Sensors may be on and off • Accurate inventory of available data streams is important – discovery and periodic • inventory updates are critical
  17. 17. Publish/Subscribe for sensor measurements on mobile device
  18. 18. Applying techniques and techniques of computer health monitoring to human health monitoring • Similar challenges? • Humans are different from computers but both produce large amount of actionable data • Open source monitoring and notification – Nagios?
  19. 19. Demo • EEG sensor • EKG + Heart rate sensors • Google glasses + sensor data

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