Evaluation of cuff deflation and inflation rates on a deep learning-based automatic blood pressure measurement method: a pilot evaluation study.

Journal: Blood pressure monitoring
Published Date: Apr 1, 2021

Abstract

OBJECTIVE: The aim of this study was to evaluate the performance of using a deep learning-based method for measuring SBPs and DBPs and the effects of cuff inflation and deflation rates on the deep learning-based blood pressure (BP) measurement (in comparison with the manual auscultatory method).

Authors

  • Fan Pan
  • Peiyu He
  • Fei Chen
    Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Yuhang Xu
    Research Centre of Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry, UK.
  • Qijun Zhao
    College of Computer Science, Sichuan University, Chengdu, China.
  • Ping Sun
    Department of Pathology, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Dingchang Zheng
    Research Centre of Intelligent Healthcare, Coventry University, Coventry, United Kingdom.

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