Subject-independent Continuous Estimation of sEMG-based Joint Angles using both Multisource Domain Adaptation and BP Neural Network

• Published in: IEEE transactions on instrumentation and measurement Vol. 72; p. 1
• Main Authors: Li, He, Guo, Shuxiang, Wang, Hanze, Bu, Dongdong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Artificial neural networks; Back propagation; Back propagation networks; BP neural network; Continuous angle estimation; Domains; Elbow; Elbow (anatomy); Electromyography; Estimation; Exoskeletons; Inter-subject variability; Invariants; Limbs; Multisource domain adaptation; Muscles; Neural networks; Rehabilitation; Statistical methods; Surface electromyography (sEMG); Training

Continuous angle estimation from surface electromyography (sEMG) is crucial for robot-assisted upper limb rehabilitation. The sEMG-based control provides an optimal way to achieve harmonic interactions between subjects and upper limb rehabilitation exoskeletons. And for upper limb exoskeleton system...