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Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach

Journal Contribution - Journal Article

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.
Journal: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
ISSN: 0140-0118
Issue: 5
Volume: 48
Pages: 483 - 488
BOF-keylabel:yes
IOF-keylabel:yes
BOF-publication weight:0.1
CSS-citation score:1
Authors:International
Authors from:Higher Education
Accessibility:Closed