Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos

Wong, DC orcid.org/0000-0001-8117-9193, Relton, SD orcid.org/0000-0003-0634-4587, Fang, H et al. (4 more authors) (2019) Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos. In: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). CBMS2019: IEEE 32nd International Symposium on Computer-Based Medical Systems, 05-07 Jun 2019, Cordoba, Spain. IEEE , pp. 32-37. ISBN 978-1-7281-2286-1

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Item Type: Proceedings Paper
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© 2019 IEEE. This is an author produced version of a paper published in 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Classification; Parkinson's; Bradykinesia; Video; Computer Vision; Diagnosis; Support Vector Machine
Dates:
  • Published: 5 August 2019
  • Published (online): 5 August 2019
  • Accepted: 29 March 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Apr 2019 14:42
Last Modified: 12 Sep 2019 15:37
Status: Published
Publisher: IEEE
Identification Number: 10.1109/CBMS.2019.00017
Open Archives Initiative ID (OAI ID):

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