Atrial Fibrillation: Evaluation of the ESC/ICA method on simulated ECG signals

Nowadays, one the most prevalent arrhythmia is the atrial fibrillation (AF). The affection associated with AF can lead from problems like hypertension, to life threatening problems such as thromboembolic events. It can be identified using a routine electrocardiogram (ECG) investigation and is characterized by the chaotic-like oscillations, f-waves, which replace the P wave. In the present paper the evaluation of a previously proposed method is performed on simulated data sets which include noise components with different signal to noise ratios (SNR).