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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Detalhes bibliográficos

Principais autores:	Lorenzo Hermez, Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Omar Galarraga, Vincent Vigneron
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-07-01
coleção:	Sensors
Assuntos:	clinical gait analysis unsupervised machine learning normal gait characterization 3D gait deviation neurological diseases Dynamic Time Warping
Acesso em linha:	https://www.mdpi.com/1424-8220/23/14/6566
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