Development and Validation of a Deep Learning-based Automatic Auscultatory Blood Pressure Measurement Method

Pan, F, He, P, Wang, H orcid.org/0000-0002-2281-5679 et al. (5 more authors) (2021) Development and Validation of a Deep Learning-based Automatic Auscultatory Blood Pressure Measurement Method. Biomedical Signal Processing and Control, 68. 102742. ISSN 1746-8094

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Copyright, Publisher and Additional Information: © 2021 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Biomedical Signal Processing and Control. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Blood pressure measurement; Deep learning; Manual auscultatory method; Oscillometric method
Dates:
  • Published: July 2021
  • Accepted: 7 May 2021
  • Published (online): 10 May 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 May 2021 08:41
Last Modified: 13 May 2021 08:41
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.bspc.2021.102742

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