Significance of mixing matrix structure on principal component-based analysis of atrial fibrillation body surface potential maps

Abstract : Atrial fibrillation (AF) type classifiers are still hardly accepted in clinical practice due to their invasive approach. In this work a new automated method to assess noninvasively different AF types is presented, based on the high spatial resolution given by body surface potential maps (BSPM). AF organization degree was assessed by its influence on the spatio-temporal pseudostationarity and complexity of a principal component analysis mixing matrix repeatedly derived along a BSPM recording. Stationarity was analyzed in terms of ability of the mixing matrix derived for a specific recording segment to retrieve the AA components of subsequent segments, while complexity in terms of its number of significant components. Results show that AF organization is reflected in a greater pseudostationarity of the mixing matrix along the recordings and in a lower number of components needed to represent the AA, interpreted as a lower complexity in the underlying AA in patients with organized AF type I.
Type de document :
Communication dans un congrès
Computers in Cardiology, Sep 2009, Park City, UTAH, France. pp.41-44, 2009
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00422948
Contributeur : Pietro Bonizzi <>
Soumis le : jeudi 8 octobre 2009 - 17:05:20
Dernière modification le : mardi 17 novembre 2009 - 14:06:51

Identifiants

  • HAL Id : hal-00422948, version 1

Collections

Citation

Pietro Bonizzi, Maria Guillem, Francisco Castells, Andreu Climent, Vicente Zarzoso, et al.. Significance of mixing matrix structure on principal component-based analysis of atrial fibrillation body surface potential maps. Computers in Cardiology, Sep 2009, Park City, UTAH, France. pp.41-44, 2009. 〈hal-00422948〉

Partager

Métriques

Consultations de la notice

123