| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Cardiovascular Medicine, Vol 9 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2297-055X |
| DOI: |
10.3389/fcvm.2022.940615 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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