Transferable Deep Learning Models for Accurate Ankle Joint Moment Estimation during Gait Using Electromyography

Transferable Deep Learning Models for Accurate Ankle Joint Moment Estimation during Gait Using Electromyography

The joint moment is a key measurement in locomotion analysis. Transferable prediction across different subjects is advantageous for calibration-free, practical clinical applications. However, even for similar gait motions, intersubject variance presents a significant challenge in maintaining reliabl...

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Bibliographic Details
Main Authors: Amged Elsheikh Abdelgadir Ali, Dai Owaki, Mitsuhiro Hayashibe
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Applied Sciences
Subjects:
deep learning
recurrent CNN
sEMG features
transferable estimation
gait analysis
Online Access:https://www.mdpi.com/2076-3417/14/19/8795
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