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A sleep pattern analysis and visualization system to support people with early dementia

Nikamalfard, Hoda, Zheng, Huiru, Wang, Haiying, Mulvenna, Maurice, McCullagh, PJ and Jeffer, Paul (2011) A sleep pattern analysis and visualization system to support people with early dementia. In: Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011, Dublin. IEEE. 4 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/Xplore/login.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6030000%2F6038756%2F06038858.pdf%3Farnumber%3D6038858&authDecision=-203


Sleep disturbances are among the most distressing of all Alzheimer's disease related symptoms. In some cases, however, the sleep disturbance may be a marker for early Alzheimer's disease. In this paper we present a sleep pattern detection and visualization system developed to support the monitoring of sleep patterns and assessment of sleep disturbances for people diagnosed with dementia, at the early stages of the disease. The system provides visual tool kits for caregivers to view the sleep profiles and for investigators to analyse sleep patterns based on sensory data gathered at users' home via the telecare service.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:21022
Deposited By: Dr Huiru Zheng
Deposited On:10 Feb 2012 09:22
Last Modified:10 Feb 2012 09:22

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