Digital Biomarkers of Mobility in Parkinson's Disease During Daily Living.

ABSTRACT:

Background

Identifying digital biomarkers of mobility is important for clinical trials in Parkinson's disease (PD).

Objective

To determine which digital outcome measures of mobility discriminate mobility in people with PD from healthy control (HC) subjects over a week of continuous monitoring.

Methods

We recruited 29 people with PD, and 27 age-matched HC subjects. Subjects were asked to wear three inertial sensors (Opal by APDM) attached to both feet and to the lumbar region, and a subset of subjects also wore two wrist sensors, for a week of continuous monitoring. We derived 43 digital outcome measures of mobility grouped into five domains. An Area Under Curve (AUC) was calculated for each digital outcome measures of mobility, and logistic regression employing a 'bes

SUBMITTER: Shah VV 

PROVIDER: S-EPMC8128134 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature