Extraction of the atrial activity from the ECG based on independent component analysis with prior knowledge of the source kurtosis signs.
In this work it will be shown that a contrast for independent component analysis based on prior knowledge of the source kurtosis signs (ica-sks) is able to extract atrial activity from the electrocardiogram when a constrained updating is introduced. A spectral concentration measure is used, only allowing signal pair updates when spectral concentration augments. This strategy proves to be valid for independent source extraction with priors on the spectral concentration. Moreover, the method is computationally attractive with a very low complexity compared to the recently proposed methods based on spatiotemporal extraction of the atrial fibrillation signal.
Phlypo
Ronald
R
University of Ghent, De Pintelaan 185, Blok B, 9000 Ghent, Belgium. ronald.phlypo@ugent.be
D'Asseler
Yves
Y
Lemahieu
Ignace
I
Zarzoso
Vicente
V
D000465:Algorithms; D001281:Atrial Fibrillation / Q000503:physiopathology*; D001282:Atrial Flutter / Q000503:physiopathology*; D004562:Electrocardiography; D006325:Heart Atria / Q000503:physiopathology*; D006801:Humans