Wearable sensors and mobile applications
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This document discusses wearable sensors and their use in collecting human wellness data. It notes that wearable technology is becoming a $6 billion market by 2016. Key points include: sensors can collect various health data; mobile devices can process this data; challenges include managing large amounts of data from many sensors; mistakes include improperly uploading all data or relying on single sensors; performing analysis on the sensor or mobile device filters data before uploading; and applications include wellness advice, health monitoring, and medical uses like remote patient monitoring. Security, FDA regulations, and developing a smart sensor ecosystem are also addressed.
Wearable sensors and mobile applications
- 1. Wearable Sensors Human wellness data acquisition and personal analysis Gene Leybzon leybzon@gmail dot com
- 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. Technology is ready • Data sensors (Vital Data, EEG, EKG, Insulin, Movement recognition, many others) • Mobile device data processing • Blue Tooth Low Energy
- 6. Use of Sensor Data • • • • Personal analytics Anomaly detection Trending Prediction
- 7. Consumer Applications • Wellness advice • Health monitoring • Early problem detection of notification
- 8. Medical Applications • Outpatient care • Home health care • Hospital care
- 9. Challenges • Amount of data generated by sensors • What is important? • Agregating data across different sensors
- 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. 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. Security and Data Protection • • • • PHI and PII What is covered by HIPAA Where FDA steps in How to protectd senitive data
- 13. Sensors • Sensors attached to the body • Sensors embedded into the phone • External sensors (like weight scales and body fat sensors)
- 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. Applications • Data analysis on server • Task/activity oriented mobile and web applications • Medical office applications • Caregiver/relatives applications • Analytics applications
- 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. Publish/Subscribe for sensor measurements on mobile device
- 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. Demo • EEG sensor • EKG + Heart rate sensors • Google glasses + sensor data