title: Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach.
abstract: This work presents a spatial filtering method for the estimation of atrial fibrillation activity in the cutaneous electrocardiogram. A linear extraction filter is obtained by maximising the extractor output power on the significant spectral support of the signal of interest. An iterative procedure based on a quasi-maximum likelihood estimator is proposed to jointly estimate the significant spectral support and the extraction filter. Compared with a previously proposed spatio-temporal blind source separation method, our approach yields an improved atrial activity signal estimate as quantified by a higher spectral concentration of the extractor output. The proposed methodology can readily be adapted to signal extraction problems in other application domains.
authors.affiliation: MEDISIP/IBBT, UGent, Heymans Institute Block B, 185 De Pintelaan, 9000, Ghent, Belgium. ronald.phlypo@ugent.be
authors.forename: Ronald
authors.initials: R
authors.lastname: Phlypo
authors.forename: Vicente
authors.initials: V
authors.lastname: Zarzoso
authors.forename: Ignace
authors.initials: I
authors.lastname: Lemahieu
mesh_terms: D000465:Algorithms; D001281:Atrial Fibrillation / Q000175:diagnosis* / Q000503:physiopathology; D004562:Electrocardiography / Q000379:methods; D006325:Heart Atria / Q000503:physiopathology; D006801:Humans; D012815:Signal Processing, Computer-Assisted