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Frontiers in Network Physiology|March 17, 2023
On the significance of estimating cardiorespiratory coupling strength in sports medicineRaphael Martins de Abreu, Beatrice Cairo, Alberto PortaPhysiological Measurement|October 10, 2013
Decoupling of QT interval variability from heart rate variability with ageingMathias Baumert, Barbora Czippelova, Alberto Porta, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Granger causality in cardiovascular variability series: comparison between model-based and model-free approachesAlberto Porta, Tito Bassani, Vlasta Bari, et al.Journal of Neural Engineering|July 8, 2022
Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsyRiccardo Pernice, Luca Faes, Martha Feucht, et al.Medical & Biological Engineering & Computing|April 24, 2016
Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanismsMichal Javorka, Barbora Czippelova, Zuzana Turianikova, et al.Journal of Neural Engineering|October 21, 2025
A method for the time-frequency analysis of high-order interactions in non-stationary physiological networksYuri Antonacci, Chiara Bará, Laura Sparacino, et al.Physiological Measurement|June 19, 2026
Dissecting the integrated information of cardiovascular and cardiorespiratory systems at rest and during physiological stressIrene Franzone, Roberta Saputo, Yuri Antonacci, et al.Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 23, 2008
Multimodal signal processing for the analysis of cardiovascular variabilityAlberto Porta, Federico Aletti, Frederic Vallais, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject BasisLaura Sparacino, Martina Valentino, Yuri Antonacci, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information DecompositionLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.Pageof 49