An Automated Cardiac Arrhythmia Classification Network for 45 Arrhythmia Classes Using 12-Lead Electrocardiogram
Electrocardiogram is a non-invasive, inexpensive, and widely used diagnostic tool for arrhythmia diagnosis in clinics. Deep learning techniques have shown great promise in electrocardiogram signal analysis, enabling automatic and accurate detection of various cardiac arrhythmia. This paper proposes...
| Main Authors: | , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2024-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/10478009/ |