Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases

Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases

This study addresses the characterization of normal gait and pathological deviations induced by neurological diseases, considering knee angular kinematics in the sagittal plane. We propose an unsupervised approach based on Dynamic Time Warping (DTW) to identify different normal gait profiles (NGPs)...

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Bibliographic Details
Main Authors: Lorenzo Hermez, Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Omar Galarraga, Vincent Vigneron
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
clinical gait analysis
unsupervised machine learning
normal gait characterization
3D gait deviation
neurological diseases
Dynamic Time Warping
Online Access:https://www.mdpi.com/1424-8220/23/14/6566

Internet

https://www.mdpi.com/1424-8220/23/14/6566

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