The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control

Buckley, C., Alcock, L., McArdle, R. et al. (5 more authors) (2019) The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control. Brain Sciences, 9 (2). 34. ISSN 2076-3425

Abstract

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Copyright, Publisher and Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Parkinson’s disease; ataxia; deep learning; dementia; disease phenotyping; machine learning; movement science; risk prediction
Dates:
  • Accepted: 31 January 2019
  • Published (online): 6 February 2019
  • Published: 6 February 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Mar 2019 17:01
Last Modified: 12 Mar 2019 21:21
Published Version: https://doi.org/10.3390/brainsci9020034
Status: Published
Publisher: MDPI
Refereed: Yes
Identification Number: https://doi.org/10.3390/brainsci9020034
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