Multi-class electrocardiogram signal classification using deep learning and two-dimensional time-frequency codification
The automated classification of cardiac arrhythmias in electrocardiogram (ECG) signals is critical for cardiovascular diagnosis. Several studies focus on the classification of ECG rhythms. However this task remains a challenge, as is often affected by significant class imbalances, long-term temporal dependencies and fi...