VisionMD: an open-source tool for video-based analysis of motor function in movement disorders

Abstract 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 comp...

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Main Authors: Gabriela Acevedo, Florian Lange, Carolina Calonge, Robert Peach, Joshua K. Wong, Diego L. Guarin
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-025-00876-6
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author Gabriela Acevedo
Florian Lange
Carolina Calonge
Robert Peach
Joshua K. Wong
Diego L. Guarin
author_facet Gabriela Acevedo
Florian Lange
Carolina Calonge
Robert Peach
Joshua K. Wong
Diego L. Guarin
author_sort Gabriela Acevedo
collection DOAJ
description Abstract 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.
format Article
id doaj-art-c98cbaea1a544431bddbbb07680c4745
institution Kabale University
issn 2373-8057
language English
publishDate 2025-02-01
publisher Nature Portfolio
record_format Article
series npj Parkinson's Disease
spelling doaj-art-c98cbaea1a544431bddbbb07680c47452025-02-09T12:26:27ZengNature Portfolionpj Parkinson's Disease2373-80572025-02-011111510.1038/s41531-025-00876-6VisionMD: an open-source tool for video-based analysis of motor function in movement disordersGabriela Acevedo0Florian Lange1Carolina Calonge2Robert Peach3Joshua K. Wong4Diego L. Guarin5Movement Estimation and Analysis Laboratory, Department of Applied Physiology and Kinesiology, University of FloridaDepartment of Neurology, University of WürzburgMovement Estimation and Analysis Laboratory, Department of Applied Physiology and Kinesiology, University of FloridaDepartment of Neurology, University of WürzburgFixel Institute for Neurological Disease, College of Medicine, University of FloridaMovement Estimation and Analysis Laboratory, Department of Applied Physiology and Kinesiology, University of FloridaAbstract 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.https://doi.org/10.1038/s41531-025-00876-6
spellingShingle Gabriela Acevedo
Florian Lange
Carolina Calonge
Robert Peach
Joshua K. Wong
Diego L. Guarin
VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
npj Parkinson's Disease
title VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
title_full VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
title_fullStr VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
title_full_unstemmed VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
title_short VisionMD: an open-source tool for video-based analysis of motor function in movement disorders
title_sort visionmd an open source tool for video based analysis of motor function in movement disorders
url https://doi.org/10.1038/s41531-025-00876-6
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