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Luca Faes

Showing results (121-130 of 189) with videos related to

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IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor NetworkYuri Antonacci, Chiara Bara, Laura Sparacino, et al.
Physiological Measurement|February 1, 2017
Basic cardiovascular variability signals: mutual directed interactions explored in the information domainMichal Javorka, Jana Krohova, Barbora Czippelova, et al.
Autonomic Neuroscience : Basic & Clinical|April 2, 2013
Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategyLuca Faes, Alberto Porta, Gianluca Rossato, et al.
Sensors (Basel, Switzerland)|December 11, 2022
Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entropy-Based MeasuresGabriele Volpes, Chiara Barà, Alessandro Busacca, et al.
Chaos (Woodbury, N.Y.)|April 1, 2023
Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactionsChiara Barà, Laura Sparacino, Riccardo Pernice, 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
Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimatorsMartina Valente, Michal Javorka, Zuzana Turianikova, et al.
Medical & Biological Engineering & Computing|December 1, 2025
Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measuresRoberta Saputo, Riccardo Pernice, Laura Sparacino, et al.
Physical Review Letters|November 17, 2025
Partial Information Rate DecompositionLuca Faes, Laura Sparacino, Gorana Mijatovic, et al.
IEEE Transactions on Bio-Medical Engineering|May 1, 2026
EMBC Special Issue: Investigating High-Order Behaviors in Multivariate Cardiovascular Interactions via Nonlinear Prediction and Information-Theoretic ToolsChiara Bara, Yuri Antonacci, Helder Pinto, et al.
Annals of Biomedical Engineering|August 31, 2010
A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signalsUlrike Richter, Luca Faes, Alessandro Cristoforetti, et al.
Pageof 19

Showing results (121-130 of 189) with videos related to

Sort By:
Pageof 19
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor NetworkYuri Antonacci, Chiara Bara, Laura Sparacino, et al.
Physiological Measurement|February 1, 2017
Basic cardiovascular variability signals: mutual directed interactions explored in the information domainMichal Javorka, Jana Krohova, Barbora Czippelova, et al.
Autonomic Neuroscience : Basic & Clinical|April 2, 2013
Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategyLuca Faes, Alberto Porta, Gianluca Rossato, et al.
Sensors (Basel, Switzerland)|December 11, 2022
Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entropy-Based MeasuresGabriele Volpes, Chiara Barà, Alessandro Busacca, et al.
Chaos (Woodbury, N.Y.)|April 1, 2023
Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactionsChiara Barà, Laura Sparacino, Riccardo Pernice, 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
Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimatorsMartina Valente, Michal Javorka, Zuzana Turianikova, et al.
Medical & Biological Engineering & Computing|December 1, 2025
Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measuresRoberta Saputo, Riccardo Pernice, Laura Sparacino, et al.
Physical Review Letters|November 17, 2025
Partial Information Rate DecompositionLuca Faes, Laura Sparacino, Gorana Mijatovic, et al.
IEEE Transactions on Bio-Medical Engineering|May 1, 2026
EMBC Special Issue: Investigating High-Order Behaviors in Multivariate Cardiovascular Interactions via Nonlinear Prediction and Information-Theoretic ToolsChiara Bara, Yuri Antonacci, Helder Pinto, et al.
Annals of Biomedical Engineering|August 31, 2010
A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signalsUlrike Richter, Luca Faes, Alessandro Cristoforetti, et al.
Pageof 19