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

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Abstract

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.Copyright © 2022 Lin, Jia, Chen, Shi, Zhao, Li, Wu, Jiang, Zhang, Wang, Chen, Feng and Xia.