Frontiers in Cardiovascular Medicine (Aug 2022)

Korotkoff sounds dynamically reflect changes in cardiac function based on deep learning methods

  • Wenting Lin,
  • Sixiang Jia,
  • Yiwen Chen,
  • Hanning Shi,
  • Jianqiang Zhao,
  • Zhe Li,
  • Yiteng Wu,
  • Hangpan Jiang,
  • Qi Zhang,
  • Wei Wang,
  • Yayu Chen,
  • Chao Feng,
  • Shudong Xia

DOI
https://doi.org/10.3389/fcvm.2022.940615
Journal volume & issue
Vol. 9

Abstract

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Korotkoff sounds (K-sounds) have been around for over 100 years and are considered the gold standard for blood pressure (BP) measurement. K-sounds are also unique for the diagnosis and treatment of cardiovascular diseases; however, their efficacy is limited. The incidences of heart failure (HF) are increasing, which necessitate the development of a rapid and convenient pre-hospital screening method. In this review, we propose a deep learning (DL) method and the possibility of using K-methods to predict cardiac function changes for the detection of cardiac dysfunctions.

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