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Dr Sanjeev Naguleswaran Professor Karen Grimmer
Modelling & Simulation for Remote Monitoring:
keeping ageing people in their home
SiMTECT/SiMHealth 2013
Telehealth and Telecare
Telehealth - Consistent and
accurate remote monitoring and
management of a patient’s 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
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 patient’s
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
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
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
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
Simulation Model
Sensor
Characterization
Network
Configuration
Health care
Requirements
Location
characterization
Remote monitoring
WSN, BAN, BSN
Telehealthcare
Services
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
In Premises Communications
• Red = unsupported traffic
• Green = supported traffic
• Blue = supported with 1 hop
• Light Blue = supported with
2 hops
Communications with Relay Node
• Red = unsupported traffic
• Green = supported traffic
• Blue = supported with 1 hop
• Light Blue = supported with
2 hops
Simulation Cycle
Configuration
Model
Simulate
/Optimise
Analysis
Modify/
Accept
Relay
Enables
Required
Information
Exchange
Software
Model
Optimal
Placement
Evaluate
Results
Confirm
(non)
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 KPI’s

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Modelling and Simulation for Remote Monitoring in Telehealthcare

  • 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 patient’s 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 patient’s 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
  • 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
  • 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 KPI’s