DocumentCode :
1611930
Title :
A sleep pattern analysis and visualization system to support people with early dementia
Author :
Nikamalfard, Hoda ; Zheng, Huiru ; Wang, Haiying ; Mulvenna, Maurice ; McCullagh, Paul ; Jeffers, Paul
Author_Institution :
Sch. of Comput. & Math., Univ. of Ulster, Belfast, UK
fYear :
2011
Firstpage :
510
Lastpage :
513
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.
Keywords :
data visualisation; diseases; health care; patient monitoring; sleep; telemedicine; Alzheimer disease related symptoms; early dementia; sensory data; sleep disturbances assessment; sleep pattern analysis; sleep pattern detection; sleep pattern monitoring; sleep profiles; sleep visualization system; telecare service; visual tool kits; Data visualization; Databases; Dementia; Monitoring; Sensor systems; dementia; night time care; sleep pattern; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
Conference_Location :
Dublin
Print_ISBN :
978-1-61284-767-2
Type :
conf
Filename :
6038858
Link To Document :
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