Detecting accelerometer non-wear periods using change in acceleration combined with rate-of-change in temperature.

ABSTRACT:

Background

Accelerometery is commonly used to estimate physical activity, sleep, and sedentary behavior. In free-living conditions, periods of device removal (non-wear) can lead to misclassification of behavior with consequences for research outcomes and clinical decision making. Common methods for non-wear detection are limited by data transformations (e.g., activity counts) or algorithm parameters such as minimum durations or absolute temperature thresholds that risk over- or under-estimating non-wear time. This study aimed to advance non-wear detection methods by integrating a 'rate-of-change' criterion for temperature into a combined temperature-acceleration algorithm.

Methods

Data were from 39 participants with neurodegenerative disease (36% female; age: 45-83 years) wh

SUBMITTER: Vert A 

PROVIDER: S-EPMC9123693 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature