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Utilizing ambient and wearable sensors to monitor sleep and stress for people with BPSD in nursing homes
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Information Technologies Institute, Centre for Research & Technology Hellas.
Information Technologies Institute, Centre for Research & Technology Hellas.
Information Technologies Institute, Centre for Research & Technology Hellas.
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2018 (English)In: Journal of Ambient Intelligence and Humanized Computing, ISSN 1868-5137, E-ISSN 1868-5145, Vol. 9, no 2, p. 261-273Article in journal (Refereed) Published
Abstract [en]

Clinical assessment of behavioral and psychological symptoms of dementia (BPSD) in nursing homes is often based on staff member’s observations and the use of the Neuropsychiatric Inventory-Nursing Home version (NPI-NH) instrument. This requires continuous observation of the person with BPSD, and a lot of effort and manual input from the nursing home staff. This article presents the DemaWare@NH monitoring framework system, which complements traditional methods in measuring patterns of behavior, namely sleep and stress, for people with BPSD in nursing homes. The framework relies on ambient and wearable sensors for observing the users and analytics to assess their conditions. In our proof-of-concept scenario, four residents from two nursing homes were equipped with sleep and skin sensors, whose data is retrieved, processed and analyzed by the framework, detecting and highlighting behavioral problems, and providing relevant, accurate information to clinicians on sleep and stress patterns. The results indicate that structured information from sensors can ease and improve the understanding of behavioral patterns, and, as a consequence, the efficiency of care interventions, yielding a positive impact on the quality of the clinical assessment process for people with BPSD in nursing homes.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 9, no 2, p. 261-273
National Category
Media and Communication Technology Nursing
Research subject
Pervasive Mobile Computing; Nursing
Identifiers
URN: urn:nbn:se:ltu:diva-9225DOI: 10.1007/s12652-015-0331-6ISI: 000429249200005Local ID: 7c97293a-e058-4224-b5bb-882faec2867eOAI: oai:DiVA.org:ltu-9225DiVA, id: diva2:982163
Note

Validerad;2018;Nivå 2;2018-04-04 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-04-26Bibliographically approved

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Kikhia, BaselHallberg, JosefSävenstedt, StefanMelander, Catharina

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  • apa
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