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

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 proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	510-513
Number of pages	4
Publication status	Published (in print/issue) - May 2011
Event	Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011 - Dublin Duration: 1 May 2011 → …

Conference

Conference	Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011
Period	1/05/11 → …

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

@inproceedings{c0c12ef64d4c4a0c9fd73e206c647418,

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",

year = "2011",

month = may,

language = "English",

pages = "510--513",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

address = "United States",

note = "Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011 ; Conference date: 01-05-2011",

}

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. IEEE, pp. 510-513, Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011, 1/05/11. <http://ieeexplore.ieee.org/Xplore/login.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6030000%2F6038756%2F06038858.pdf%3Farnumber%3D6038858&authDecision=-203>

TY - GEN

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

AU - Nikamalfard, Hoda

AU - Zheng, Huiru

AU - Wang, Haiying

AU - Mulvenna, Maurice

AU - McCullagh, PJ

AU - Jeffer, Paul

PY - 2011/5

Y1 - 2011/5

N2 - 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.

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.

M3 - Conference contribution

SP - 510

EP - 513

BT - Unknown Host Publication

PB - IEEE

T2 - Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on Issue Date: 23-26 May 2011

Y2 - 1 May 2011

ER -

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

Abstract

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