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PAViS: Pattern Analysis and Visualization System for Sleep Monitoring in Ambient Assisted Living

Zheng, H, Wang, HY, Nikamalfard, H, Mulvenna, Maurice, McCullagh, PJ, Martin, Suzanne, Wallace, Jonathan and Jeffers, Paul (2012) PAViS: Pattern Analysis and Visualization System for Sleep Monitoring in Ambient Assisted Living. International Journal of Computers in Healthcare, 4 (1). pp. 320-332. [Journal article]

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Abstract

Sleep disturbances are among the most distressing of all Alzheimer’s disease-related symptoms, and may be a marker for early Alzheimer’s disease in some cases. Assisted technologies have been applied in telecare services to provide care to people either in their own homes or in supported housing, via monitoring their activities, including sleep. In this paper, we present a sleep pattern detection and visualisation system, PAViS, developed to support the tele-monitoring and assessment of sleep disturbances for people diagnosed with early dementia. The system provides visual tool kits for telecare service providers and investigators to view sleep profiles and analyse sleep patterns based on sensory data gathered at users’ home.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Institute of Nursing and Health Research
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:24707
Deposited By: Professor Maurice Mulvenna
Deposited On:29 Jan 2013 12:41
Last Modified:09 Dec 2015 11:10

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