Arrhythmia Classification Using Radial Basis Function Network With Selective Features From Empirical Mode Decomposition

2. Related Literature

Automated ECG classification can help the cardiologist for the diagnosis of any type of cardiac abnormalities. In the last few decades, several algorithms have been developed by the researchers for the automatic classification of the cardiac signal. Preprocessing, feature extraction, and classification are the three basic steps in ECG signal classification and multiple methods have been applied by the researchers for each of these processes.