Heartbeat Dynamics from a Microcanonical Multifractal Approach

Abstract : Heartbeat dynamics is a complex system. To charac- terize it properly, advanced nonlinear signal-processing methods are needed. In this context, recent developments on reconstructible signals and multiscale information con- tent have led to the Microcanonical Multifractal Formal- ism (MMF). The MMF provides signal-analysis techniques particularly suited to heartbeat dynamics. In particu- lar, electrocardiogram signals and electric potential in the endocardium allows detecting slow-changing transitions. Detecting regime transition could be used for early warn- ing and treatment of cardiac arrhythmias. In this context, we present an application to the case of Atrial Fibrillation in which we detect distinctive parameters for the transition matrix
Type de document :
Communication dans un congrès
Computing in Cardiology, Sep 2011, Hangzhou, China. 2011, 〈http://www.cinc.org/2011/preprints/289.pdf〉
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Contributeur : Oriol Pont <>
Soumis le : lundi 5 décembre 2011 - 14:57:23
Dernière modification le : mercredi 7 février 2018 - 14:52:06

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  • HAL Id : hal-00648301, version 1

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Oriol Pont, Michel Haïssaguerre, Hussein Yahia, Nicolas Derval, Mélèze Hocini. Heartbeat Dynamics from a Microcanonical Multifractal Approach. Computing in Cardiology, Sep 2011, Hangzhou, China. 2011, 〈http://www.cinc.org/2011/preprints/289.pdf〉. 〈hal-00648301〉

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