Literature DB >> 22815084

Validation of noninvasive body sensor network technology in the detection of agitation in dementia.

Azziza Bankole1, Martha Anderson, Tonya Smith-Jackson, Aubrey Knight, Kyunghui Oh, Jeff Brantley, Adam Barth, John Lach.   

Abstract

OBJECTIVE: Agitated behaviors are one of the most frequent reasons that patients with dementia are placed in long-term care settings. This study aims to validate the ability of a custom Body Sensor Network (BSN) to capture the presence of agitation against currently accepted subjective measures, the Cohen-Mansfield Agitation Inventory (CMAI) and the Aggressive Behavior Scale (ABS) and to discriminate between agitation and cognitive decline.
METHODS: Six patients identified as being at high risk for agitated behaviors were enrolled in this study. The devices were applied at three sites for three hours while behaviors were annotated simultaneously and subsequently repeated twice for each enrolled subject.
RESULTS: We found that the BSN was a valid measure of agitation based on construct validity testing and secondary validation using non-parametric ANOVAs. DISCUSSION: The BSN shows promise from these pilot results. Further testing with a larger sample is needed to replicate these results.

Entities:  

Mesh:

Year:  2012        PMID: 22815084     DOI: 10.1177/1533317512452036

Source DB:  PubMed          Journal:  Am J Alzheimers Dis Other Demen        ISSN: 1533-3175            Impact factor:   2.035


  6 in total

1.  Correlates among nocturnal agitation, sleep, and urinary incontinence in dementia.

Authors:  Karen Rose; Janet Specht; Windy Forch
Journal:  Am J Alzheimers Dis Other Demen       Date:  2014-03-25       Impact factor: 2.035

2.  A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.

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

3.  Evaluation of a hospital-based day-structuring exercise programme on exacerbated behavioural and psychological symptoms in dementia--the exercise carrousel: study protocol for a randomised controlled trial.

Authors:  Tim Fleiner; Wiebren Zijlstra; Hannah Dauth; Peter Haussermann
Journal:  Trials       Date:  2015-05-26       Impact factor: 2.279

4.  Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models.

Authors:  Andrea Iaboni; Sofija Spasojevic; Kristine Newman; Lori Schindel Martin; Angel Wang; Bing Ye; Alex Mihailidis; Shehroz S Khan
Journal:  Alzheimers Dement (Amst)       Date:  2022-04-27

Review 5.  Wrist accelerometry for monitoring dementia agitation behaviour in clinical settings: A scoping review.

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

6.  Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia.

Authors:  Stefan Teipel; Alexandra König; Jesse Hoey; Jeff Kaye; Frank Krüger; Julie M Robillard; Thomas Kirste; Claudio Babiloni
Journal:  Alzheimers Dement       Date:  2018-06-21       Impact factor: 21.566

  6 in total

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