A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease

A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease

Gait is a core motor function and is impaired in numerous neurological diseases, including Parkinson’s disease (PD). Treatment changes in PD are frequently driven by gait assessments in the clinic, commonly rated as part of the Movement Disorder Society (MDS) Unified PD Rating Scale (UPDRS) assessme...

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Bibliographic Details
Main Authors: Samuel Rupprechter, Gareth Morinan, Yuwei Peng, Thomas Foltynie, Krista Sibley, Rimona S. Weil, Louise-Ann Leyland, Fahd Baig, Francesca Morgante, Ro’ee Gilron, Robert Wilt, Philip Starr, Robert A. Hauser, Jonathan O’Keeffe
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
Parkinson’s disease
gait
time series analysis
computer vision
pose estimation
interpretable machine learning
Online Access:https://www.mdpi.com/1424-8220/21/16/5437

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