VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
VisionMD, an open-source software for automated video-based analysis of MDS-UPDRS Part III motor tasks, offers precise, objective, and scalable assessments of motor symptoms in Parkinson's disease and other movement disorders. Leveraging deep learning, VisionMD tracks body movements to compute kinematic features that quantify symptoms severity and supports longitudinal monitoring. VisionMD's user-friendly, customizable framework empowers clinicians and researchers to objectively evaluate motor symptoms in persons with movement disorders without specialized hardware.
Authors
- Florian Lange (ORCID: https://orcid.org/0000-0001-8497-7780)
- Diego L. Guarín (ORCID: https://orcid.org/0000-0001-6077-7063)
- Robert L. Peach (ORCID: https://orcid.org/0000-0002-8738-5825)
- Joshua K. Wong (ORCID: https://orcid.org/0000-0002-4632-3417)
- Gabriela Acevedo
- Carolina Calonge
Institutions
- University of Würzburg (DE)
- University of Florida (US)
- Florida College (US)
Publication Details
- Journal
- npj Parkinson s Disease
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1038/s41531-025-00876-6
- Citations
- 10
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 13.89
Funders
- University of Florida
- Deutsche Forschungsgemeinschaft