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Arrhythmia classification remains a major challenge for appropriate therapy delivery in implantable cardioverter defibrillators (ICDs). The purpose of this paper is to present a new algorithm for arrhythmia discrimination based on a statistical classification by support vector machines of a novel 2-D representation of electrograms (EGMs) named spatial(More)
Implantable Cardioverter Defibrillators (ICD) are widely used for sudden cardiac death prevention. In most ICD algorithms, decision making includes a morphological analysis of the unipolar and/or bipolar electrograms (EGM). The principle of such algorithms is to create a “normal” template by averaging normal sinus rhythm heartbeats, for(More)
Discrimination des rythmes cardiaques dans un défibrillateur implantable de type simple chambre par des méthodes d'apprentissage statistique soutenue le 10 février 2011 devant le jury composé de : changements de morphologie du rythme sinusal de base, afin d'établir une procédure statistique solide d'actualisation de ce dernier. Enfin, une méthode(More)
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