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Communication Dans Un Congrès Année : 2020

Wavelet-based Multifractal Analysis of Heartbeat Dynamics: Non-Gaussian Expansion vs. Cumulants

Résumé

Nonlinear and non-Gaussian analysis contributes to a comprehensive characterization of autonomic nervous system control on heartbeat dynamics. Nevertheless, a statistical comparison between non-Gaussian features and cumulants in the frame of a wavelet-based multifractal analysis of heartbeat dynamics has not been performed yet. Here we exploit a multifractal features formulation based on wavelet p-leaders spectrum applied to instantaneous heartbeat estimates from inhomogeneous point processes. We then perform a non-Gaussian multiscale expansion and analyze physiologically-meaningful differences between resting state and cold-pressure test in 30 healthy subjects. Results show that nonlinear and non-Gaussian features are associated with statistical differences between physiological states, whereas cumulants from the multifractal spectrum, till the third order, were not statistically different.
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hal-03034103 , version 1 (01-12-2020)

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Vincenzo Catrambone, Herwig Wendt, Riccardo Barbieri, Patrice Abry, Gaetano Valenza. Wavelet-based Multifractal Analysis of Heartbeat Dynamics: Non-Gaussian Expansion vs. Cumulants. 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO 2020), Jul 2020, Pisa, Italy. ⟨10.1109/ESGCO49734.2020.9158011⟩. ⟨hal-03034103⟩
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