Continuous Motion Estimation of Knee Joint Based on a Parameter Self-Updating Mechanism Model

Continuous Motion Estimation of Knee Joint Based on a Parameter Self-Updating Mechanism Model

Estimation of continuous motion of human joints using surface electromyography (sEMG) signals has a critical part to play in intelligent rehabilitation. Traditional methods always use sEMG signals as inputs to build regression or biomechanical models to estimate continuous joint motion variables. Ho...

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Bibliographic Details
Main Authors: Jiayi Li, Kexiang Li, Jianhua Zhang, Jian Cao
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Bioengineering
Subjects:
continuous joint motion estimation
surface electromyography (sEMG)
deep learning
feature extraction
particle swarm optimization (PSO)
deep belief network (DBN)
Online Access:https://www.mdpi.com/2306-5354/10/9/1028

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