mhealth services to link health and environment · overview i am a technologist: interested in...
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mHealth Services to Link
Health and Environment
A/Prof. Vijay Sivaraman
School of Electrical Eng. & Telecoms.
University of New South Wales
http://www2.ee.unsw.edu.au/~vijay/
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Overview I am a technologist:
Interested in developing devices, tools, software and
systems to improve quality of life
Skills: developing hardware and software, apps, web-
based (cloud) services, data analytics
What I lack:
Domain experience:
Healthcare providers, age-care workers, community
What I’d like to do:
Engage with domain specialists to help in development
of technology for healthcare
Explore ways to speed up technology adoption cycle
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Project 1: Body-Wearable Health Devices Non-intrusive wearable devices
Big market: Toumaz, Apple, GE, …
~10 grams, measure ECG, glucose, etc.
Chronic disease management
Challenges:
Severe battery limitation (~20mWh)
Adaptive-power communication
Privacy and authenticity
Automatic key generation
Low-cost signature and provenance checking S. Xiao, A. Dhamdhere, V. Sivaraman, and A. Burdett "Transmission Power Control in Body Area Sensor Networks for
Healthcare Monitoring", IEEE JSAC, Special Issue on Body Area Networking, 27(1):37-48, Jan 2009.
S. T. Ali, V. Sivaraman and D. Ostry, "Eliminating Reconciliation Cost in Secret Key Generation for Body-Worn Health
Monitoring Devices", IEEE Transactions on Mobile Computing, to appear in 2013.
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Project 2: Liveable Environment for Older People Environmental factors in active ageing
Pedestrian paths, open spaces, street furniture, …
Not just what fails, but what enables
Objectives:
Create empirical database for local community
Help local govt. in decision making, empower citizens via engagement
Our solution: app, database, mapping, analysis
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Project 2: Liveability (contd.)
App in apple store; android version coming
Walk-n-talk group sessions in Wollongong, Tweed Heads
http://www.liveable.eng.unsw.edu.au/
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Project 3: Air Pollution
1.4 billion urban residents live
in areas with air pollution
above guidelines [WHO]
2 million deaths worldwide
2.3% of deaths in Australia
NSW: $4.7billion in health costs
Chronic exposure
cardiovascular and respiratory
mortality and morbidity
Acute short-term inhalation
exacerbates existing conditions
asthma, COPD, heart disease
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Air Pollution Monitoring in Sydney DECCW runs 15 stations in various locations
Data published and updated on hourly basis
AQI reported; Health warnings posted
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Images From: www.health.nsw.gov.au
Limitations of Current System
Poor spatial resolution
Sites separated by tens of kilometers
Need interpolation models:
Complex: land topography, chemical compositions
Inaccurate: meteorological conditions
Do not reflect actual exposures of individuals
Spatial heterogeneity
Concentrations can change over short distances
Mobility patterns of users
Time spent and activity level at home, work, travel
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New System: Internet-of-Things (IoT) “Crowd source” data from users (drivers)
Users upload pollution measurement as they drive
Measurements stored in “cloud”
Displayed as pollution map in real-time
Can build cloud-based tools and services around it
Advantages:
Cost-effective: mobile sensors cover more ground
E.g. sensor on one bus can cover tens of kilometers
Better spatial resolution for same sensors
30-50 mobile sensors can cover a city well
Personalized tools
Personal exposure meter, route-planning, …
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Pollution Measurement Devices
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Web and App Services
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Pollution map live at: http://www.pollution.ee.unsw.edu.au
Challenges Needs expertise in:
Sensors, calibration (Chemistry)
Hardware, communications design (Electrical Eng.)
Database server, cloud computing (Computer Sc.)
Pollution modeling (Atmospheric Sc.)
Mobile phone applications (Computer Sc.)
Health outcome interpretation (Medical)
Mass production and deployment strategy ?
How to ensure data is of good quality ?
Uptake of personal tools ?
How to make clinical inferences ?
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Conclusions
Emergence of several “personalised” technologies:
Wearable monitoring devices
Internet-of-Things and cloud services
Mobile apps
Looking forward:
“Patchwork” of cute tools – how to leverage their value?
Integration into mainstream healthcare system?
Increase rate of adoption of ICT tools?
Technology development is racing ahead, faster than we
can work out how to make them useful.
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