SAR model for accurate detection of multi-label arrhythmias from electrocardiograms
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference39 articles.
1. Inter-patient arrhythmia classification with improved deep residual convolutional neural network;Li;Comput. Methods Progr. Biomed.,2022
2. Arrhythmia detection using multi-lead ECG spectra and complex support vector machine classifiers;Jannah;Proc. Comput. Sci.,2021
3. Multi-label correlation guided feature fusion network for abnormal ECG diagnosis;Ge;Knowl. Base Syst.,2021
4. Arrhythmia detection based on multi-scale fusion of hybrid deep models from single lead ECG recordings: a multicenter dataset study;Ch;Biomed. Signal Process Control,2022
5. Multi-information fusion neural networks for arrhythmia automatic detection;Chen;Comput. Methods Progr. Biomed.,2020
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