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

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 b...

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Bibliographic Details
Published in:Medical & biological engineering & computing 2010-05, Vol.48 (5), p.483-488
Main Authors: Phlypo, Ronald, Zarzoso, Vicente, Lemahieu, Ignace
Format: Article
Language:English
Subjects:
Algorithms
Atrial Fibrillation - diagnosis
Atrial Fibrillation - physiopathology
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Cardiac arrhythmia
Computer Applications
Computer Science
Electrocardiography
Electrocardiography - methods
Engineering Sciences
Estimates
Estimating techniques
Heart Atria - physiopathology
Human Physiology
Humans
Imaging
Maximum likelihood method
Noise
Physiology
Radiology
Short Communication
Signal and Image processing
Signal Processing, Computer-Assisted
Studies
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Summary: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.
ISSN:0140-0118
1741-0444
DOI:10.1007/s11517-010-0581-6