Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers

Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, entailing several motor-related symptoms that contribute to a reduced quality of life in affected subjects. Recent advances in wearable technologies and computing resources have shown great potential for the assessment of...

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Bibliographic Details
Main Authors: Carlos Polvorinos-Fernández, Luis Sigcha, Luigi Borzì, Gabriella Olmo, César Asensio, Juan Manuel López, Guillermo de Arcas, Ignacio Pavón
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
Parkinson’s disease
digital biomarkers
motor symptoms
wearables
body-worn sensors
machine learning
Online Access:https://www.mdpi.com/2076-3417/14/22/10189
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https://www.mdpi.com/2076-3417/14/22/10189

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