Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography from the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction

Wei, Z., Li, M., Zhang, Z.-Q. et al. (1 more author) (2024) Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography from the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

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Item Type: Article
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This is an author produced version of an article published in IEEE Journal of Biomedical and Health Informatics, made available under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Surface electromyography (sEMG), upper-limb rehabilitation, deep learning, muscle synergy, muscle anatomy, continuous joint kinematics estimation methods
Dates:
  • Published (online): 22 October 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
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UKRI (UK Research and Innovation)
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Depositing User: Symplectic Publications
Date Deposited: 19 Nov 2024 13:08
Last Modified: 19 Nov 2024 13:08
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/jbhi.2024.3484994
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