Utilizing ambient and wearable sensors to monitor sleep and stress for people with BPSD in nursing homes

  • Basel Kikhia
  • Thanos G. Stavropoulos
  • Georgios Meditskos
  • Ioannis Kompatsiaris
  • Josef Hallberg
  • Stefan Sävenstedt
  • Catharina Melander
Original Research


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.


Clinical assessment Nursing homes Sensors Dementia Health monitoring 



The authors would like to thank the Dem@care project ( for funding this work. The Dem@care project has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 288199.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Basel Kikhia
    • 1
  • Thanos G. Stavropoulos
    • 3
  • Georgios Meditskos
    • 3
  • Ioannis Kompatsiaris
    • 3
  • Josef Hallberg
    • 2
  • Stefan Sävenstedt
    • 1
  • Catharina Melander
    • 1
  1. 1.Department of Health SciencesLuleå University of TechnologyLuleåSweden
  2. 2.Department of Computer Science, Electrical and Space EngineeringLuleå University of TechnologyLuleåSweden
  3. 3.Information Technologies Institute, Centre for Research & Technology HellasThessalonikiGreece

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