The detection of intracardiac activities is a major issue
in the processing of atrial fibrillation signals. we evaluate
a method based on mathematical morphology with
an adaptive structuring element in order to extract the
atrial activations from intracardiac electrograms. The
structuring element is continuously updated for each activation
based on the morphological characteristics of the
previously detected activations. A dataset of recordings
from patients with chronic atrial fibrillation who underwent
catheter ablation were used in order to evaluate the
performance of the proposed method. Results show high
performance compared to a dataset manually annotated
by an expert. The detection rate, sensitivity and positive
prediction value (PPV) were respectively 99.1% ,99.5%,
99.5%. The proposed method is fast and offers low computational
cost, which makes it a suitable approach for realtime/online
scenari