mhealth Services to Link Health and Environment

Transcription

1 mhealth Services to Link Health and Environment A/Prof. Vijay Sivaraman School of Electrical Eng. & Telecoms. University of New South Wales 1

2 Overview I am a technologist: Interested in developing devices, tools, software and systems to improve quality of life Skills: developing hardware and software, apps, webbased (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 2

3 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 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

4 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 4

5 Project 2: Liveability (contd.) App in apple store; android version coming Walk-n-talk group sessions in Wollongong, Tweed Heads 5

6 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 6

7 Air Pollution Monitoring in Sydney DECCW runs 15 stations in various locations Data published and updated on hourly basis AQI reported; Health warnings posted Images From: 7

8 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 8

9 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 mobile sensors can cover a city well Personalized tools Personal exposure meter, route-planning, 9

10 Pollution Measurement Devices 10

11 Web and App Services Pollution map live at: 11

12 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? 12

13 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. 13