Distinguishing features of Parkinson's disease fallers based on wireless insole plantar pressure monitoring.

ABSTRACT: Postural instability is one of the most disabling motor signs of Parkinson's disease (PD) and often underlies an increased likelihood of falling and loss of independence. Current clinical assessments of PD-related postural instability are based on a retropulsion test, which introduces human error and only evaluates reactive balance. There is an unmet need for objective, multi-dimensional assessments of postural instability that directly reflect activities of daily living in which individuals may experience postural instability. In this study, we trained machine-learning models on insole plantar pressure data from 111 participants (44 with PD and 67 controls) as they performed simulated static and active postural tasks of activities that often occur during daily living. Models accurately cl

SUBMITTER: Herbers C 

PROVIDER: S-EPMC10951221 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature