Deep learning fusion framework for automated coronary artery disease detection using raw heart sound signals

Author:

Dai YunFeiORCID,Liu PengFei,Hou WenQing,Kadier Kaisaierjiang,Mu ZhengYang,Lu Zang,Chen PeiPei,Ma Xiang,Dai JianGuo

Publisher

Elsevier BV

Reference54 articles.

1. World health statistics overview 2019: monitoring health for the SDGs, sustainable development goals;World Health Organization. World health statistics 2023: monitoring health for the SDGs, sustainable development goals (who.int),2019

2. Summary of the China cardiovascular health and disease report 2022;Chinese Journal of Circulation,2023

3. Case report: invasive and non-invasive hemodynamic assessment of coronary artery disease: strengths and weaknesses;Gajanan;Frontiers in Cardiovascular Medicine,2022

4. How to explore coronary artery disease?;Barone-Rochette;Archives of cardiovascular diseases,2019

5. The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability;Knuuti;Eur. Heart J.,2018

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