Nuseibeh_2019_Sensor.pdf (1.87 MB)
A sensor platform for non-invasive remote monitoring of older adults in real time
conference contribution
posted on 2020-08-04, 12:01 authored by Mohamed Bennasar, Ciaran McCormick, Blaine A. Price, Daniel Gooch, Avelie Stuart, Vikram Mehta, Linda Clare, Amel Bennaceur, Jessica Cohen, Arosha K. Bandara, Mark Levine, Bashar NuseibehBashar NuseibehThe population of older adults is increasing across the globe; this growth is predicted to continue into the future. Most older adults prefer to live in their own home, but many live alone without immediate support. Living longer is often coupled with health and social problems and difficulty managing daily activities. Therefore, some level of care is required, but this is costly. Technological solutions may help to mitigate these problems by recognising subtle changes early and intervening before problems become unmanageable. Understanding a personâ s usual behaviour when carrying out Activities of Daily Living (ADL) makes it possible to detect and respond to anomalies. However, current commercial and research monitoring systems do not offer an analysis of ADL and are unable to detect subtle changes. To address this gap, we propose the STRETCH (Socio-Technical Resilience for Enhancing Targeted Community Healthcare) sensor platform that is comprised of non-invasive sensors and machine learning techniques to recognise changes and allow early interventions. The paper discusses design principles, modalities, system architecture, and sensor network architecture.
Funding
Study on Aerodynamic Characteristics Control of Slender Body Using Active Flow Control Technique
Japan Society for the Promotion of Science
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Publication
Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, Chen YW., Zimmermann A., Howlett R., Jain L. (eds);145Publisher
SpringerNote
peer-reviewedOther Funding information
EPSRC, ERCRights
The original publication is available at www.springerlink.comLanguage
EnglishUsage metrics
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