ECG Analysis via Machine Learning Techniques: News and Perspectives
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669776.pdf?arnumber=9669776
Reference29 articles.
1. Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks
2. Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks;çinar;Computer Methods in Biomechanics and Biomedical Engineering,2021
3. Robustness of convolutional neural networks to physiological electrocardiogram noise
4. Identification and Localization of Myocardial Infarction Based on Analysis of ECG Signal in Cross Spectral Domain Using Boosted SVM Classifier
5. Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings
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1. Enhancing Heart Disease Diagnosis through ECG Image Vectorization-Based Classification;Heliyon;2024-09
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3. Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net;Computer Methods and Programs in Biomedicine;2022-10
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