Selecting and evaluating key MDS-UPDRS activities using wearable devices for Parkinson’s disease self-assessment

Zhao, Y., Wang, X., Peng, X. et al. (8 more authors) (2024) Selecting and evaluating key MDS-UPDRS activities using wearable devices for Parkinson’s disease self-assessment. IEEE Journal of Selected Areas in Sensors, 1. pp. 177-189. ISSN 2836-2071

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Motors; Sensors; Diseases; Wearable devices; Medical diagnostic imaging; Biomarkers; Pipelines
Dates:
  • Published: 23 July 2024
  • Published (online): 23 July 2024
  • Accepted: 15 July 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
EPSRC/Industrial
165332
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jul 2024 10:16
Last Modified: 20 Nov 2024 16:13
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/JSAS.2024.3432714
Open Archives Initiative ID (OAI ID):

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