Clinical Health Monitoring
Based on desired health status outcomes, we can design systems that measure various physiological parameters such as BP, HR, ECG, pulse-oximetry and spirometry. Whether within a hospital, GP clinic or the home, it may involve communication of the data to remote locations. We develop algorithms to provide either a decision support system or a simple health status monitor. The design parameters allow the monitors to be used in either stand-alone, telemetry or m-health situations. As with remote decision support systems for telemetered patients; or a handheld device to predict the onset of labour in pregnancy; or a mobile based device to track chronic conditions such as diabetes.
Rehabilitation and Assistive Technology
Our research extends to the development of systems for use in rehabilitation, wherever that may take place. Rehabilitative and assistive technologies usually incorporate a clinical health monitoring device and may or may not be ambulatory. The result of developing rehabilitation technology that can be used in the home is faster and better recovery from injury, for example recovery of upper limb mobility after stroke through personalised assistive robotics. It can also result in more informative health monitoring of a rehabilitation regime through everyday actions such as an instrumented orthosis using shoe inserts or an instrumented crutch; and can enable significant quality of life enhancements in brain computer interfacing technology for ALS or locked-in syndrome.
Unobtrusive Monitoring of Functional Health
In unobtrusive monitoring, health or wellness is inferred through monitoring of non-physiological observations (e.g. belt-worn accelerometry, GPS, bluetooth encounters) and/or environmental sensors (e.g. PIR sensors, cameras, etc). These measurements are made over prolonged periods of time and can be used to infer health trajectories. Our algorithms can extract information from data taken from a variety of disparate sensors. Activity signatures can be deduced and changes in these patterns inferred, this would be useful in caring for the elderly with dementia, remote monitoring for falls, remote monitoring for psychiatric well-being, etc.
Wearable (Ambulatory) Monitoring
We can develop ambulatory systems for you to be able to measure either physiological parameters and/or behavioural parameters such as accelerometry through a body worn system. Either through single units or through distributed systems, high capacity, high data throughput systems could be devised that incorporate low power in a small form factor. These monitors can be used with chronic conditions such as
diabetes or to predict or alert on debilitating episodes e.g. falls in the elderly. They can also objectify current state of health/ wellness for long term conditions such as bipolar disorder, or for use in specific clinical assessments for example cardiac/ neurophysiologic monitoring and CFS.