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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
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Contributor : Oriol Pont <>
Submitted on : Monday, December 5, 2011 - 2:57:23 PM
Last modification on : Wednesday, November 14, 2018 - 1:54:11 PM


  • HAL Id : hal-00648301, version 1



Oriol Pont, Michel Haïssaguerre, Hussein Yahia, Nicolas Derval, Mélèze Hocini. Heartbeat Dynamics from a Microcanonical Multifractal Approach. Computing in Cardiology, Sep 2011, Hangzhou, China. ⟨hal-00648301⟩



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