Automatic Classification of Tremor Severity in Parkinson’s Disease Using a Wearable Device

Automatic Classification of Tremor Severity in Parkinson’s Disease Using a Wearable Device

Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposing machine-learning algorithms as a way to predict...

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Bibliographic Details
Main Authors: Hyoseon Jeon, Woongwoo Lee, Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Han Byul Kim, Beomseok Jeon, Kwang Suk Park
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
tremor
UPDRS
automatic scoring
Parkinson’s disease
wearable device
machine learning algorithm
Online Access:https://www.mdpi.com/1424-8220/17/9/2067

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