Computer Vision Technologies in Movement Disorders: A Systematic Review.

ABSTRACT:

Background

Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non-invasive motor analysis. Markerless automated video-analysis, namely Computer Vision, emerged as best suited for ecologically-valid assessment.

Objectives

To systematically review the application of Computer Vision for assessment, diagnosis, and monitoring of movement disorders.

Methods

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched Cochrane, Embase, PubMed, and Scopus databases for articles published between 1984 and September 2024. We used the foll

SUBMITTER: Pecoraro PM 

PROVIDER: S-EPMC12481449 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature