Title
Utilizing ambient and wearable sensors to monitor sleep and stress for people with BPSD in nursing homes
Abstract
Abstract 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.
Year
DOI
Venue
2018
10.1007/s12652-015-0331-6
Journal of Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Clinical assessment,Nursing homes,Sensors,Dementia,Health monitoring
Behavioral pattern,Psychological intervention,Nursing,Computer science,Wearable computer,Monitor sleep,Analytics,Dementia
Journal
Volume
Issue
ISSN
9
2
1868-5145
Citations 
PageRank 
References 
3
0.41
9
Authors
7
Name
Order
Citations
PageRank
Basel Kikhia1545.48
Thanos G. Stavropoulos214318.07
Georgios Meditskos328434.76
Ioannis Kompatsiaris41404197.36
Josef Hallberg59912.67
Stefan Sävenstedt6293.08
Catharina Melander750.78