Transcript Consumer driven

Smart Products and Connected Health
The Personal Metrics Movement
Fredric Raab
Sr. Systems Engineer
UCSD Center for Wireless and Population Health Systems
The Personal Metrics Movement
Wired July 2009
Know Thyself
The personal
metrics movement
goes way beyond
diet and exercise.
It’s about tracking
every facet of
life, from sleep to
mood to pain,
24/7/365.
Gary Wolf
quantifiedself.com
The Personal Metrics Movement
Wired July 2009
• Track your
data
• Analyze your
results
• Optimize your
life
• Share with
others
Applications
Consumer driven
Performance monitoring
Self improvement
Behavioral change
Wellness
Personal reflection
Health provider driven
Clinical monitoring
Disease management
Remote diagnostics
Aging in place
Research
Components
•
Smart devices
– Collect, store, upload
•
Web-based applications
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Storage
Analytics
Visualization
Sharing
Mobile phones
– Intervention and behavior change
Types of data
Sensor
Self Report
Heart rate
ECG
Respiration
Body temp
Blood pressure
Glucose levels
Movement (activity)
Steps
Location (gps, wifi)
Food intake
Mood
Smoking / drinking
Cravings
Medications
Weight
Level of pain
Consumer applications
Nike+ & Garmin Forerunner
Omron pedometer
GoWear activity monitor
Zeo sleep monitoring
Research tools
Heart rate and activity monitoring
ECG, heart rate, activity, posture
respiration, skin temperature
Clinical real-time monitoring
Clinical real-time monitoring
Chronic disease management
Medication compliance
GlowCap
Medication compliance
Proteus Biomedical
Medication compliance
Drug delivery patch
“Band-aid” sensors
Corventis
Implantable sensors
Cardiomems
Business challenges
Medical device approval
Insurance reimbursement
classification code
Technical challenges
• Power efficient radios
– Proprietary protocols
– Multiple intermediary devices
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Battery life
Size
Wearability and compliance
Connectivity
Bandwidth
The future
• More devices directly connected
• Smart fabrics
– Sensors and power built into clothing
• Pattern recognition and machine learning
applied to server-side analytics
• Personalized health intervention systems
– Reminders, prompts, suggestions, feedback
Thank you
[email protected]
cwphs.ucsd.edu
www.paceproject.org