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.

1. Wearable Sensors
Human wellness data acquisition
and personal analysis
Gene Leybzon leybzon@gmail dot com

2. Wearable Sensor Exposure

3. Mobile Health Today
http://www.behance.net/gallery/Infographic-Mobile-Health-market-snapshot/4468557

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
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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
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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
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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
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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