Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study.

ABSTRACT:

Background

 Little is known about whether off-the-shelf wearable sensor data can contribute to fall risk classification or complement clinical assessment tools such as the Resident Assessment Instrument-Home Care (RAI-HC).

Objective

 This study aimed to (1) investigate the similarities and differences in physical activity (PA), heart rate, and night sleep in a sample of community-dwelling older adults with varying fall histories using a smart wrist-worn device and (2) create and evaluate fall risk classification models based on (i) wearable data, (ii) the RAI-HC, and (iii) the combination of wearable and RAI-HC data.

Methods

 A prospective, observational study was conducted among 3 faller groups (G₀, G₁, G₂₊) based on the number of pre

SUBMITTER: Yang Y 

PROVIDER: S-EPMC6716444 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature