Principal component analysis for measuring the variation atrial fibrillation morphology during propofol effects

In this study the effect of the most useful anaesthetic will be evaluated in patients with atrial fibrillation (AF). Principal component analysis (PCA) has been applied as a method to represent the electrogram recordings in a more efficient manner using fewer channels. Subsequently, PCA was applied to reduce the data set to a few representative activations, measured the average dissimilarity between consecutive activations of an intracardiac signal. The purpose of PCA is here to reduce the amount of data to be analyzed in order to analyze the differences in the waveforms morphology. The proposed indexes show different behavior patterns along the atrial area during the anaesthetic effects.