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Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia
Luleå University of Technology, Department of Health Sciences, Nursing Care.
Information Technologies Institute, Centre for Research & Technology Hellas.
Information Technologies Institute, Centre for Research & Technology Hellas.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
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Number of Authors: 8
2016 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 16, no 12, 1989Article in journal (Refereed) Published
Abstract [en]

Stress is a common problem that affects most people with dementia and their caregivers. Stress symptoms for people with dementia are often measured by answering a checklist of questions by the clinical staff who work closely with the person with the dementia. This process requires a lot of effort with continuous observation of the person with dementia over the long term. This article investigates the effectiveness of using a straightforward method, based on a single wristband sensor to classify events of "Stressed" and "Not stressed" for people with dementia. The presented system calculates the stress level as an integer value from zero to five, providing clinical information of behavioral patterns to the clinical staff. Thirty staff members participated in this experiment, together with six residents suffering from dementia, from two nursing homes. The residents were equipped with the wristband sensor during the day, and the staff were writing observation notes during the experiment to serve as ground truth. Experimental evaluation showed relationships between staff observations and sensor analysis, while stress level thresholds adjusted to each individual can serve different scenarios.

Place, publisher, year, edition, pages
2016. Vol. 16, no 12, 1989
National Category
Nursing Media and Communication Technology
Research subject
Nursing; Mobile and Pervasive Computing
URN: urn:nbn:se:ltu:diva-60730DOI: 10.3390/s16121989ISI: 000391303000009PubMedID: 27886155ScopusID: 2-s2.0-84997328010OAI: diva2:1050151

Validerad; 2016; Nivå 2; 2016-11-28 (andbra)

Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2017-02-03Bibliographically approved

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Kikhia, BaselKarvonen, NiklasSävenstedt, StefanMelander, Catharina
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