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

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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.
Keywords
second-order statistics, conditional statistics, blind source extraction, atrial fibrillation, electrocardiogram, INDEPENDENT COMPONENT ANALYSIS, SURFACE ELECTROCARDIOGRAMS, 2ND-ORDER STATISTICS, SEPARATION

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Chicago
Phlypo, Ronald, Vicente Zarzoso, and Ignace Lemahieu. 2010. “Atrial Activity Estimation from Atrial Fibrillation ECGs by Blind Source Extraction Based on a Conditional Maximum Likelihood Approach.” Medical & Biological Engineering & Computing 48 (5): 483–488.
APA
Phlypo, R., Zarzoso, V., & Lemahieu, I. (2010). Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 48(5), 483–488.
Vancouver
1.
Phlypo R, Zarzoso V, Lemahieu I. Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. 2010;48(5):483–8.
MLA
Phlypo, Ronald, Vicente Zarzoso, and Ignace Lemahieu. “Atrial Activity Estimation from Atrial Fibrillation ECGs by Blind Source Extraction Based on a Conditional Maximum Likelihood Approach.” MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 48.5 (2010): 483–488. Print.
@article{910146,
  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.},
  author       = {Phlypo, Ronald and Zarzoso, Vicente  and Lemahieu, Ignace},
  issn         = {0140-0118},
  journal      = {MEDICAL \& BIOLOGICAL ENGINEERING \& COMPUTING},
  language     = {eng},
  number       = {5},
  pages        = {483--488},
  title        = {Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach},
  url          = {http://dx.doi.org/10.1007/s11517-010-0581-6},
  volume       = {48},
  year         = {2010},
}

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