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Multiscale Eigen Analysis on EEG and Heartbeat Dynamics: a Pilot study

Abstract : The continuous reciprocal interplay underlying cerebral and cardiovascular interactions has been shown to generate complex and nonlinear dynamics. To this extent, differences in induced cross-temporal dynamics are here investigated via wavelet-based multivariate multiscale analysis. Twelve features were extracted from both EEG and ECG recordings from 24 healthy subjects at rest and during a coldpressor test. The proposed multivariate analysis using the eigenstructure of the multiscale decomposition was compared with a classical multivariate analysis. Preliminary results show that differences between experimental conditions are enhanced by the application of the proposed multivariate analysis.
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https://hal-cnrs.archives-ouvertes.fr/hal-03034112
Contributor : Herwig Wendt <>
Submitted on : Tuesday, December 1, 2020 - 4:07:48 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:34 AM
Long-term archiving on: : Tuesday, March 2, 2021 - 7:52:59 PM

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Vincenzo Catrambone, Patrice Abry, Gaetano Valenza, Herwig Wendt, Gustavo Didier, et al.. Multiscale Eigen Analysis on EEG and Heartbeat Dynamics: a Pilot study. 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO 2020), Jul 2020, Pisa, Italy. ⟨10.1109/ESGCO49734.2020.9158176⟩. ⟨hal-03034112⟩

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