A Hybrid CNN-LSTM Architecture for Detection of Coronary Artery Disease from ECG
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207044.pdf?arnumber=9207044
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Naive Bayes and SVM-based Classification of Myocardial Tissue with Echocardiography Images for Heart Disease Diagnosis;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
2. A Comprehensive Review of Heart Disease Classification Techniques Utilizing ECG Signal Analysis;2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM);2023-08-26
3. Developing a Deep-Learning-Based Coronary Artery Disease Detection Technique Using Computer Tomography Images;Diagnostics;2023-03-31
4. Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review;Heliyon;2023-02
5. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals;IEEE Access;2023
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