modelling and simulation for remote monitoring in telehealthcare

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Dr Sanjeev Naguleswaran Professor Karen Grimmer Modelling & Simulation for Remote Monitoring: keeping ageing people in their home SiMTECT/SiMHealth 2013

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Efficiently and cost-effectively evaluate technology solutions for Telehealthcare using modelling and simulation.

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  • 1. Dr Sanjeev Naguleswaran Professor Karen Grimmer Modelling & Simulation for Remote Monitoring: keeping ageing people in their home SiMTECT/SiMHealth 2013

2. Telehealth and Telecare Telehealth - Consistent and accurate remote monitoring and management of a patients health condition Vital signs monitoring Health settings and advisory information Telecare - The remote monitoring of real time emergencies and lifestyle changes over time Alarms, sensors and other equipment to help people live independently for longer Autonomously call for help in emergencies 3. The Benefits of Telehealthcare Independence & dignity Quality of Life Less disruption through travel etc Less hospital attendance Less impact on family members Individuals Prioritise support for patients Better situational awareness of patients condition Early intervention to prevent deconditioning & maintain good health Health professionals Reduce use of hospitals & emergency leading to cost reductions Better use of clinical teams & other resources People better mange their own conditions Improve outreach services Policy and Government 4. Generation 1: Push Button Alarms Generation 2: Sensors and Networks Ambient Assisted Living/Ubiquitous Computing Technology Supported Telehealthcare Telehealth Technology Cloud Processing Monitoring Falls Medication Security Eating Wellness depression Chronic disease Video consult Telecare 5. Drive design & development of appropriate technology Modelling to Evaluate Technology Requirement to evaluate, configure and deploy technology for: Remote monitoring in the home - aged care Telehealthcare services - remote communities. Candidate solutions reducing dependence on costly, time consuming & intrusive hardware trials Configure networks with the required reliability & robustness Identify & dimension appropriate Commercial Off the Shelf (COTS) product MODELLING & SIMULATION 6. Modelling and Simulation Solution Define health care requirements - including establishing KPIs that need to be met (Photo BT) Sensor characterization model the specifications of COTS sensors to evaluate the KPIs Sensor networks model networks formed by the sensors, such as Wireless Sensor Networks (WSN), Body Area Networks (BAN) and Body Sensor Networks (BSN) (Photo Libellium) Adhoc networking model and optimise configurations and parameters for networking of various sensors with limited infrastructure (Photo- Technhunt) Reliability of life-critical system holistic model of system and reach- back communication links such as the National Broadband Network (NBN), Cellular (3G/4G) or Satellite Communications and cloud based analytics 7. Simulation Model Sensor Characterization Network Configuration Health care Requirements Location characterization Remote monitoring WSN, BAN, BSN Telehealthcare Services 8. Location Model and Simulation A 10 x 10 x 5 m premises (approximating a house) with the following sensors was initially modelled: 3 Zigbee sensors (IEEE 802.15) 4 WiFi sensors capable of real-time video (IEE 802.11) A bluetooth enabled sensor [Such as a belt] An Ollomobile sensor phone carried on the person capable of bluetooth and 3G (www.ollomobile.net) Lifestyle Analytics An indoor propagation model Routing and relaying Mobility 9. In Premises Communications Red = unsupported traffic Green = supported traffic Blue = supported with 1 hop Light Blue = supported with 2 hops 10. Communications with Relay Node Red = unsupported traffic Green = supported traffic Blue = supported with 1 hop Light Blue = supported with 2 hops 11. Simulation Cycle Configuration Model Simulate /Optimise Analysis Modify/ Accept Relay Enables Required Information Exchange Software Model Optimal Placement Evaluate Results Confirm (non) 12. Summary Demonstrated Modelling and Simulation capability to evaluate Telehealthcare solutions for the home Efficient technology identification Removes need to evaluate a number of solutions in the field We are: Developing more accurate premises and radio propagation models Creating modules for easily incorporating various product characteristics Exploring heterogeneous networks with multi-level (pico, femto,.. ) cells and hand-off Exploring cognitive and cooperative communication Continuously refining health care requirements, constraints and reliability KPIs