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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 6, 2016
Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatmentLuca Faes, Daniele Marinazzo, Sebastiano Stramaglia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time seriesLuca Faes, Giandomenico Nollo, Silvia Erla, 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.
IEEE Transactions on Bio-Medical Engineering|August 21, 2008
An automatic system for the analysis and classification of human atrial fibrillation patterns from intracardiac electrogramsGiandomenico Nollo, Mattia Marconcini, Luca Faes, 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.
Autonomic Neuroscience : Basic & Clinical|April 17, 2013
Measuring postural-related changes of spontaneous baroreflex sensitivity after repeated long-duration diving: frequency domain approachesLuca Faes, Michela Masè, Giandomenico Nollo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networksLuca Faes, Giandomenico Nollo, Jana Krohova, et al.
Physical Review. E|April 18, 2025
Assessing high-order effects in feature importance via predictability decompositionMarlis Ontivero-Ortega, Luca Faes, Jesus M Cortes, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causalityAlessandro Montalto, Sebastiano Stramaglia, Luca Faes, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variabilityD Nuzzi, S Stramaglia, M Javorka, et al.
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