Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders

Gait disorders are common in neurodegenerative diseases and distinguishing between seemingly similar kinematic patterns associated with different pathological entities is a challenge even for the experienced clinician. Ultimately, muscle activity underlies the generation of kinematic patterns. There...

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Bibliographic Details
Main Authors:	Christopher Fricke, Jalal Alizadeh, Nahrin Zakhary, Timo B. Woost, Martin Bogdan, Joseph Classen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-05-01
Series:	Frontiers in Neurology
Subjects:	machine learning gait disorder classification convolutional neural network support vector machine k nearest neighbor
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2021.666458/full

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https://www.frontiersin.org/articles/10.3389/fneur.2021.666458/full

Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders

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