A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson’s disease (PD). This study examined the ability of deep learning approaches to grade the motor impairment severity in a modified version of the Movement Disorders Socie...

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Bibliographic Details
Main Authors: Mehar Singh, Prithvi Prakash, Rachneet Kaur, Richard Sowers, James Robert Brašić, Manuel Enrique Hernandez
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
artificial intelligence
bradykinesia
machine learning
movement disorders
multidisciplinary
postural instability
Online Access:https://www.mdpi.com/1424-8220/23/21/9004

Internet

https://www.mdpi.com/1424-8220/23/21/9004

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