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 maximizing 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.
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Contributor : Vicente Zarzoso <>
Submitted on : Sunday, December 5, 2010 - 10:03:19 PM
Last modification on : Monday, November 5, 2018 - 3:52:01 PM

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  • HAL Id : hal-00543142, version 1

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Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu. Atrial Activity Estimation from Atrial Fibrillation ECGs by Blind Source Extraction Based on a Conditional Maximum Likelihood Approach. Medical and Biological Engineering and Computing, Springer Verlag, 2010, 48 (5), pp.483-488. ⟨hal-00543142⟩

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