Graph search based detection of periodic activations in complex periodic signals: Application in atrial fibrillation electrograms

A novel method for automatic detection of peaks corresponding to the periodic activations in complex periodic signals is proposed. The approach involves dominant frequency-based periodicity detection combined with a graph search algorithm to identify periodic activations or peaks of interest. The performance of the proposed method is demonstrated in human atrial fibrillation electrograms with simulated periodic activations corrupted by complex aperiodic signal features. The proposed method is compared to two state-of-the-art peak detection algorithms and is shown to be more accurate in detecting periodic peaks.