Assessment of Parkinsonian gait in older adults with dementia via human pose tracking in video data.

ABSTRACT:

Background

Parkinsonism is common in people with dementia, and is associated with neurodegenerative and vascular changes in the brain, or with exposure to antipsychotic or other dopamine antagonist medications. The detection of parkinsonian changes to gait may provide an opportunity to intervene and address reversible causes. In this study, we investigate the use of a vision-based system as an unobtrusive means to assess severity of parkinsonism in gait.

Methods

Videos of walking bouts of natural gait were collected in a specialized dementia unit using a Microsoft Kinect sensor and onboard color camera, and were processed to extract sixteen 3D and eight 2D gait features. Univariate regression to gait quality, as rated on the Unified Parkinson's Disease Rating Scale (UPDRS) a

SUBMITTER: Sabo A 

PROVIDER: S-EPMC7362631 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature