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

ABSTRACT:

Introduction

Behavioral and psychological symptoms of dementia (BPSD) signal distress or unmet needs and present a risk to people with dementia and their caregivers. Variability in the expression of these symptoms is a barrier to the performance of digital biomarkers. The aim of this study was to use wearable multimodal sensors to develop personalized machine learning models capable of detecting individual patterns of BPSD.

Methods

Older adults with dementia and BPSD (n = 17) on a dementia care unit wore a wristband during waking hours for up to 8 weeks. The wristband captured motion (accelerometer) and physiological indicators (blood volume pulse, electrodermal activity, and skin temperature). Agitation or aggression events were tracked, and research staff reviewed videos t

SUBMITTER: Iaboni A 

PROVIDER: S-EPMC9043905 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature