VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network

Zhang, H., Liao, Y., Zhu, C. et al. (3 more authors) (2024) VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network. Sensors, 24 (21). 6998. ISSN 1424-8220

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Item Type: Article
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© 2024 by the authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: stroke; rehabilitation; rehabilitation decision-making; convolutional gated recurrent neural network; whale optimization algorithm
Dates:
  • Published: 1 November 2024
  • Published (online): 30 October 2024
  • Accepted: 28 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)
Depositing User: Symplectic Publications
Date Deposited: 27 Nov 2024 10:39
Last Modified: 27 Nov 2024 10:39
Status: Published
Publisher: MDPI
Identification Number: 10.3390/s24216998
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