Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches

Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers are visible to the eye, but quantifications of those differences outside of the gait laboratory have been elusive. In this work, we measured vertical, mediolateral, and anteroposterior...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	gait gait cycle temporospatial gait clinical features duchenne muscular dystrophy typically developing sensors
Online Access:	https://www.mdpi.com/1424-8220/24/4/1123