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Luca Faes

Showing results (41-50 of 189) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General AnesthesiaLuca Faes, Vlasta Bari, Marco Ranucci, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|March 28, 2009
Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methodsGiandomenico Nollo, Luca Faes, Renzo Antolini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSOUlrike Richter, Luca Faes, Flavia Ravelli, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2016
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp ElectroencephalogramLuca Faes, Daniele Marinazzo, 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|December 11, 2021
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian ProcessesYuri Antonacci, Ludovico Minati, Gorana Mijatovic, et al.
IEEE Transactions on Bio-Medical Engineering|May 16, 2025
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological NetworksLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 17, 2013
A framework for assessing frequency domain causality in physiological time series with instantaneous effectsLuca Faes, Silvia Erla, Alberto Porta, et al.
Frontiers in Computational Neuroscience|August 28, 2025
Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessmentTijana Bojić, Luca Faes, Steffen Schulz, et al.
Physical Review. E|March 19, 2021
Local Granger causalitySebastiano Stramaglia, Tomas Scagliarini, Yuri Antonacci, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Advanced computation in cardiovascular physiology: new challenges and opportunitiesGaetano Valenza, Luca Faes, Nicola Toschi, et al.
Pageof 19

Showing results (41-50 of 189) with videos related to

Sort By:
Pageof 19
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General AnesthesiaLuca Faes, Vlasta Bari, Marco Ranucci, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|March 28, 2009
Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methodsGiandomenico Nollo, Luca Faes, Renzo Antolini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSOUlrike Richter, Luca Faes, Flavia Ravelli, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2016
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp ElectroencephalogramLuca Faes, Daniele Marinazzo, 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|December 11, 2021
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian ProcessesYuri Antonacci, Ludovico Minati, Gorana Mijatovic, et al.
IEEE Transactions on Bio-Medical Engineering|May 16, 2025
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological NetworksLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 17, 2013
A framework for assessing frequency domain causality in physiological time series with instantaneous effectsLuca Faes, Silvia Erla, Alberto Porta, et al.
Frontiers in Computational Neuroscience|August 28, 2025
Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessmentTijana Bojić, Luca Faes, Steffen Schulz, et al.
Physical Review. E|March 19, 2021
Local Granger causalitySebastiano Stramaglia, Tomas Scagliarini, Yuri Antonacci, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Advanced computation in cardiovascular physiology: new challenges and opportunitiesGaetano Valenza, Luca Faes, Nicola Toschi, et al.
Pageof 19