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

Filippou, V., Redmond, A. C., Bennion, J. et al. (2 more authors) (2020) Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers. In: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society:Enabling Innovative Technologies for Global Healthcare, EMBC 2020. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, 20-24 Jul 2020 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS . IEEE , CAN , pp. 4604-4607.

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Item Type: Proceedings Paper
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©2020 IEEE

Dates:
  • Published: 27 August 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Health Sciences (York)
Depositing User: Pure (York)
Date Deposited: 30 Sep 2020 11:40
Last Modified: 05 Jan 2025 00:45
Published Version: https://doi.org/10.1109/EMBC44109.2020.9176201
Status: Published
Publisher: IEEE
Series Name: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Identification Number: 10.1109/EMBC44109.2020.9176201
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Description: Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers

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