Doreen Goerss1,2, Albert Hein3, Sebastian Bader3, Margareta Halek4,5, Sven Kernebeck4,5, Andreas Kutschke6, Christina Heine1, Frank Krueger3, Thomas Kirste3, Stefan Teipel1,2. 1. Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany. 2. German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany. 3. Department of Computer Science, University of Rostock, Rostock, Germany. 4. German Center for Neurodegenerative Diseases (DZNE), Witten, Germany. 5. Faculty of Health, Witten/Herdecke University, Witten, Germany. 6. Stadtische Seniorenheime Krefeld gGmbH, Krefeld, Germany.
Abstract
INTRODUCTION: Sensor-based assessment of challenging behaviors in dementia may be useful to support caregivers. Here, we investigated accelerometry as tool for identification and prediction of challenging behaviors. METHODS: We set up a complex data recording study in two nursing homes with 17 persons in advanced stages of dementia. Study included four-week observation of behaviors. In parallel, subjects wore sensors 24 h/7 d. Participants underwent neuropsychological assessment including MiniMental State Examination and Cohen-Mansfield Agitation Inventory. RESULTS: We calculated the accelerometric motion score (AMS) from accelerometers. The AMS was associated with several types of agitated behaviors and could predict subject's Cohen-Mansfield Agitation Inventory values. Beyond the mechanistic association between AMS and behavior on the group level, the AMS provided an added value for prediction of behaviors on an individual level. DISCUSSION: We confirm that accelerometry can provide relevant information about challenging behaviors. We extended previous studies by differentiating various types of agitated behaviors and applying long-term measurements in a real-world setting.
INTRODUCTION: Sensor-based assessment of challenging behaviors in dementia may be useful to support caregivers. Here, we investigated accelerometry as tool for identification and prediction of challenging behaviors. METHODS: We set up a complex data recording study in two nursing homes with 17 persons in advanced stages of dementia. Study included four-week observation of behaviors. In parallel, subjects wore sensors 24 h/7 d. Participants underwent neuropsychological assessment including MiniMental State Examination and Cohen-Mansfield Agitation Inventory. RESULTS: We calculated the accelerometric motion score (AMS) from accelerometers. The AMS was associated with several types of agitated behaviors and could predict subject's Cohen-Mansfield Agitation Inventory values. Beyond the mechanistic association between AMS and behavior on the group level, the AMS provided an added value for prediction of behaviors on an individual level. DISCUSSION: We confirm that accelerometry can provide relevant information about challenging behaviors. We extended previous studies by differentiating various types of agitated behaviors and applying long-term measurements in a real-world setting.
Authors: S Spasojevic; J Nogas; A Iaboni; B Ye; A Mihailidis; A Wang; S J Li; L S Martin; K Newman; S S Khan Journal: J Healthc Inform Res Date: 2021-05-01
Authors: James Chung-Wai Cheung; Bryan Pak-Hei So; Ken Hok Man Ho; Duo Wai-Chi Wong; Alan Hiu-Fung Lam; Daphne Sze Ki Cheung Journal: Front Psychiatry Date: 2022-09-16 Impact factor: 5.435