Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis

Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis

In multiple sclerosis (MS), gait impairment is one of the most prominent symptoms. For a sensitive assessment of pathological gait patterns, a comprehensive analysis and processing of several gait analysis systems is necessary. The objective of this work was to determine the best diagnostic gait sys...

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Bibliographic Details
Main Authors: Katrin Trentzsch, Paula Schumann, Grzegorz Śliwiński, Paul Bartscht, Rocco Haase, Dirk Schriefer, Andreas Zink, Andreas Heinke, Thurid Jochim, Hagen Malberg, Tjalf Ziemssen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Brain Sciences
Subjects:
multiple sclerosis
gait analysis
mobility
machine learning
feature selection
Online Access:https://www.mdpi.com/2076-3425/11/8/1049

Internet

https://www.mdpi.com/2076-3425/11/8/1049

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