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Atrial fibrillation (AF) is the most common tachyarrhythmia. An accurate AF diagnosis is based on electrograms (EGM) interpretation. In this work, we evaluated different preprocessing filters to calculate dominant frequency (DF), organization index (OI) and regularity index (RI) for EGM during AF, this comparative analysis has not been reported previously. EGM were obtained from AF simulated by a three-dimensional model of human atria. The preprocessing stage with a low-pass filter, rectification and high pass filter was implemented. Additionally, a test over 60 simulated signals using different filters with different orders was developed. It was found that some filters affect the DF calculation and cause a bimodal distribution in the DF histogram. Calculation of DF, OI and RI by Fast Fourier Transform analysis of preprocessing signals has high sensibility to filters settings. OI and RI analysis works properly in EGM with single potentials, however, DF is not necessary related with cycle length in fragmented EGM and OI calculation becomes inaccurate with high DF.

Dominant Frequency, Regularity and Organization Indexes Response to Preprocessing Filter Variations on Simulated Electrograms During Atrial Fibrillation