Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity

Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity

Introduction: Technology holds the potential to track disease progression and response to neuroprotective therapies in Parkinson’s disease (PD). The sit-to-stand (STS) transition is a frequently occurring event which is important to people with PD. The aim of this study was to demonstrate an automat...

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Bibliographic Details
Main Authors: Catherine Morgan, Alessandro Masullo, Majid Mirmehdi, Hanna Kristiina Isotalus, Ferdian Jovan, Ryan McConville, Emma L. Tonkin, Alan Whone, Ian Craddock
Format: Article
Language:English
Published: Karger Publishers 2023-08-01
Series:Digital Biomarkers
Subjects:
parkinson’s disease-related motor symptoms
influence and/or predict health-related outcomes
objective data
home environment
mobility
video recording
Online Access:https://beta.karger.com/Article/FullText/530953

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https://beta.karger.com/Article/FullText/530953

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