Korotkoff sounds dynamically reflect changes in cardiac function based on deep learning methods
oleh: 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
| Format: | Article |
|---|---|
| Diterbitkan: | Frontiers Media S.A. 2022-08-01 |
Deskripsi
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.