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

Hoda Nikamalfard, Huiru Zheng, Haiying Wang, Maurice Mulvenna, PJ McCullagh, Paul Jeffer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages510-513
Number of pages4
Publication statusPublished - May 2011
EventPervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011 - Dublin
Duration: 1 May 2011 → …

Conference

ConferencePervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011
Period1/05/11 → …

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Visualization
Sleep
Monitoring

Cite this

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title = "A sleep pattern analysis and visualization system to support people with early dementia",
abstract = "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.",
author = "Hoda Nikamalfard and Huiru Zheng and Haiying Wang and Maurice Mulvenna and PJ McCullagh and Paul Jeffer",
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Nikamalfard, H, Zheng, H, Wang, H, Mulvenna, M, McCullagh, PJ & Jeffer, P 2011, A sleep pattern analysis and visualization system to support people with early dementia. in Unknown Host Publication. pp. 510-513, Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011, 1/05/11.

A sleep pattern analysis and visualization system to support people with early dementia. / Nikamalfard, Hoda; Zheng, Huiru; Wang, Haiying; Mulvenna, Maurice; McCullagh, PJ; Jeffer, Paul.

Unknown Host Publication. 2011. p. 510-513.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A sleep pattern analysis and visualization system to support people with early dementia

AU - Nikamalfard, Hoda

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AU - Mulvenna, Maurice

AU - McCullagh, PJ

AU - Jeffer, Paul

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AB - 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.

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EP - 513

BT - Unknown Host Publication

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