Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers*

Filippou, V orcid.org/0000-0001-9890-9658, Redmond, AC orcid.org/0000-0002-8709-9992, Bennion, J et al. (2 more authors) (2020) Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers*. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 20-24 Jul 2020, Montreal, Canada. IEEE , pp. 4604-4607. ISBN 9781728119915

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Dates:
  • Published: July 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Clinical Biomechanic & Physical Med (LIRMM) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Sep 2020 14:49
Last Modified: 29 Sep 2020 14:49
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/embc44109.2020.9176201

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