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.
Type de document :
Article dans une revue
Medical and Biological Engineering and Computing, Springer Verlag, 2010, 48 (5), pp.483-488
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00543142
Contributeur : Vicente Zarzoso <>
Soumis le : dimanche 5 décembre 2010 - 22:03:19
Dernière modification le : dimanche 5 décembre 2010 - 22:03:19

Identifiants

  • HAL Id : hal-00543142, version 1

Collections

Citation

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>

Partager

Métriques

Consultations de la notice

51