Deep learning of Parkinson's movement from video, without human-defined measures

Yang, J., Williams, S., Hogg, D.C. orcid.org/0000-0002-6125-9564 et al. (2 more authors) (2024) Deep learning of Parkinson's movement from video, without human-defined measures. Journal of the Neurological Sciences, 463. 123089. ISSN 0022-510X

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Item Type: Article
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© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).

Keywords: Parkinson's disease; Bradykinesia; Computer vision; Video; Deep learning; Artificial intelligence
Dates:
  • Published: 15 August 2024
  • Published (online): 9 June 2024
  • Accepted: 5 June 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence
Depositing User: Symplectic Publications
Date Deposited: 12 Jun 2024 11:39
Last Modified: 22 Oct 2024 14:56
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.jns.2024.123089
Open Archives Initiative ID (OAI ID):

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