A Full-Process, Fine-Grained, and Quantitative Rehabilitation Assessment Platform Enabled by On-Skin Sensors and Multi-Task Gait Transformer Model

Wang, Z., He, X., Bu, T. et al. (8 more authors) (2024) A Full-Process, Fine-Grained, and Quantitative Rehabilitation Assessment Platform Enabled by On-Skin Sensors and Multi-Task Gait Transformer Model. Advanced Materials, 36 (46). 2408478. ISSN 0935-9648

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© 2024 Wiley-VCH GmbH. This is the peer reviewed version of the following article: Wang, Z., He, X., Bu, T. et al. (8 more authors) (2024) A Full-Process, Fine-Grained, and Quantitative Rehabilitation Assessment Platform Enabled by On-Skin Sensors and Multi-Task Gait Transformer Model. Advanced Materials. 2408478. ISSN 0935-9648, which has been published in final form at https://doi.org/10.1002/adma.202408478. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

Keywords: MG‐former model; full‐process rehabilitation assessments; lower limb movement disorders; on‐skin sensors
Dates:
  • Published: 14 November 2024
  • Published (online): 20 September 2024
  • Accepted: 11 September 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)
Funding Information:
Funder
Grant number
Royal Society
IEC\NSFC\211360
Depositing User: Symplectic Publications
Date Deposited: 24 Sep 2024 14:57
Last Modified: 04 Dec 2024 14:37
Status: Published
Publisher: Wiley
Identification Number: 10.1002/adma.202408478
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