Luca Faes

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 82

Top Venues

EMBC

Entropy

IEEE Trans. Biomed. Eng.

CinC

Publications

Laura Sparacino, Yuri Antonacci, Chiara Barà, Angela Valenti, Alberto Porta, Luca Faes
A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability. IEEE Trans. Biomed. Eng. 71 (5) (2024)
Gorana Mijatovic, Chiara Barà, Riccardo Pernice, Tatjana Loncar-Turukalo, Giandomenico Nollo, Luca Faes
Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. EMBC (2023)
Alberto Porta, Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions. Entropy 25 (4) (2023)
Chiara Barà, Andrea Zaccaro, Yuri Antonacci, Matteo Dalla Riva, Alessandro Busacca, Francesca Ferri, Luca Faes, Riccardo Pernice
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. Biomed. Signal Process. Control. 86 (Part C) (2023)
Mirjana M. Platisa, Nikola N. Radovanovic, Riccardo Pernice, Chiara Barà, Sinisa U. Pavlovic, Luca Faes
Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy. Entropy 25 (7) (2023)
Alberto Porta, Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope. Medical Biol. Eng. Comput. 61 (12) (2023)
Hélder Pinto, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Michal Javorka, Luca Faes, Ana Paula Rocha
Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. EMBC (2023)
Laura Sparacino, Martina Valentino, Yuri Antonacci, Giuseppe Parla, Gianvincenzo Sparacia, Luca Faes
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis. EMBC (2023)
Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. EMBC (2023)
Gabriele Volpes, Chiara Barà, Alessandro Busacca, Salvatore Stivala, Michal Javorka, Luca Faes, Riccardo Pernice
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 Measures. Sensors 22 (23) (2022)
Alberto Porta, Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Marco Ranucci, Luca Faes
Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions. IEEE Trans. Biomed. Eng. 69 (6) (2022)
Gabriele Volpes, Laura Sparacino, Simone Valenti, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice
A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography. MeMeA (2022)
Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. IEEE Trans. Signal Process. 70 (2022)
Hooseok Lee, Heewon Chung, Hoon Ko, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice, Jinseok Lee
Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography. Comput. Methods Programs Biomed. 226 (2022)
Gorana Mijatovic, Dragan Kljajic, Karolina K. Kasas-Lazetic, Miodrag Milutinov, Salvatore Stivala, Alessandro Busacca, Alfonso C. Cino, Sebastiano Stramaglia, Luca Faes
Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. Entropy 24 (5) (2022)
Gorana Mijatovic, Natalija Vukosavljevic, Yuri Antonacci, Luca Faes, Tatjana Loncar-Turukalo
Measuring the Amount of Concomitant Firing during Neural Development. SISY (2022)
Simone Valenti, Laura Sparacino, Riccardo Pernice, Daniele Marinazzo, Hannes Almgren, Albert Comelli, Luca Faes
Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks. ICIAP Workshops (1) (2022)
Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
Gradients of O-information: low-order descriptors of high-order dependencies. CoRR (2022)
Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. COMPLEX NETWORKS (1) (2022)
Alberto Porta, Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions. EMBC (2022)
Simone Valenti, Gabriele Volpes, Antonino Parisi, Riccardo Pernice, Salvatore Stivala, Luca Faes, Alessandro Busacca
A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications. MeMeA (2022)
Ileana Pirovano, Alfonso Mastropietro, Eleonora Guanziroli, Franco Molteni, Luca Faes, Giovanna Rizzo
Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. EMBC (2022)
Matteo Zanetti, Teruhiro Mizumoto, Luca Faes, Alberto Fornaser, Mariolino De Cecco, Luca Maule, Martina Valente, Giandomenico Nollo
Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. J. Ambient Intell. Humaniz. Comput. 12 (4) (2021)
Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Comput. Sci. 7 (2021)
Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Nina Milosavljevic, Riccardo Storchi, Luca Faes
A Measure of Concurrent Neural Firing Activity Based on Mutual Information. Neuroinformatics 19 (4) (2021)
Ivan Lazic, Riccardo Pernice, Tatjana Loncar-Turukalo, Gorana Mijatovic, Luca Faes
Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics. Entropy 23 (6) (2021)
Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, Michal Javorka, Alessandro Busacca, Luca Faes
. EMBC (2021)
Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. IEEE Access 9 (2021)
Gorana Mijatovic, Yuri Antonacci, Luca Faes
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. EMBC (2021)
Hélder Pinto, Riccardo Pernice, Celestino Amado, Maria Eduarda Silva, Michal Javorka, Luca Faes, Ana Paula Rocha
Assessing Transfer Entropy in cardiovascular and respiratory time series under long-range correlations. EMBC (2021)
Riccardo Pernice, Laura Sparacino, Giandomenico Nollo, Salvatore Stivala, Alessandro Busacca, Luca Faes
Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction. Biomed. Signal Process. Control. 68 (2021)
John F. Morales, Jonathan Moeyersons, Pablo Armañac, Michele Orini, Luca Faes, Sebastiaan Overeem, Merel van Gilst, Hans van Dijk, Sabine Van Huffel, Raquel Bailón, Carolina Varon
Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Shadi Ghiasi, Alberto Greco, Luca Faes, Michal Javorka, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors. Medical Biol. Eng. Comput. 59 (4) (2021)
Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
Correlation Between Baroreflex Sensitivity and Cerebral Autoregulation Index in Healthy Subjects. CinC (2021)
Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. EMBC (2021)
Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes
An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Jinghua Zhang, Liugen Xue, Luca Faes
Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data. Comput. Math. Methods Medicine 2020 (2020)
Paolo Castiglioni, Luca Faes, Gaetano Valenza
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. Entropy 22 (9) (2020)
Yuri Antonacci, Luca Faes, Laura Astolfi
. EMBC (2020)
Yuri Antonacci, Laura Astolfi, Luca Faes
Testing different methodologies for Granger causality estimation: A simulation study. EUSIPCO (2020)
Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz, José Joaquín Rieta
Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. CinC (2020)
Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Luca Faes
Information - theoretic characterization of concurrent activity of neural spike trains. EUSIPCO (2020)
Aurora L. R. Martins, Riccardo Pernice, Celestino Amado, Ana Paula Rocha, Maria Eduarda Silva, Michal Javorka, Luca Faes
Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series. Entropy 22 (3) (2020)
Davide Nuzzi, Luca Faes, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia
Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. EUSIPCO (2020)
Yuri Antonacci, Laura Astolfi, Giandomenico Nollo, Luca Faes
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. Entropy 22 (7) (2020)
Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions. EMBC (2020)
Tomas Scagliarini, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, Rosario N. Mantegna
Synergistic Information Transfer in the Global System of Financial Markets. Entropy 22 (9) (2020)
Shadi Ghiasi, Alberto Greco, Luca Faes, Michal Javorka, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept. EMBC (2019)
Matteo Zanetti, Luca Faes, Giandomenico Nollo, Mariolino De Cecco, Riccardo Pernice, Luca Maule, Marco Pertile, Alberto Fornaser
Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. Entropy 21 (3) (2019)
Vlasta Bari, Beatrice Cairo, Emanuele Vaini, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
Strength and Latency of the HP-SAP Closed Loop Variability Interactions in Subjects Prone to Develop Postural Syncope. EMBC (2019)
Riccardo Pernice, Matteo Zanetti, Giandomenico Nollo, Mariolino De Cecco, Alessandro Busacca, Luca Faes
Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress. EMBC (2019)
Ludovico Minati, Hiroyuki Ito, Alessio Perinelli, Leonardo Ricci, Luca Faes, Natsue Yoshimura, Yasuharu Koike, Mattia Frasca
Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights From Rössler Systems, Electronic Chaotic Oscillators, Model and Biological Neurons. IEEE Access 7 (2019)
Luca Faes, Jana Krohova, Riccardo Pernice, Alessandro Busacca, Michal Javorka
A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular Interactions. EMBC (2019)
Emanuele Vaini, Vlasta Bari, Davide Tonon, Beatrice Cairo, Beatrice De Maria, Luca Faes, Gianluca Rossato, Alberto Porta
Computation of Mean Cerebral Blood Flow Velocity for the Assessment of Cerebral Autoregulation: Comparison of Different Strategies. CinC (2019)
Tjeerd W. Boonstra, Luca Faes, Jennifer N. Kerkman, Daniele Marinazzo
Information decomposition of multichannel EMG to map functional interactions in the distributed motor system. NeuroImage 202 (2019)
Riccardo Pernice, Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Alessandro Busacca, Luca Faes
Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring. Medical Biol. Eng. Comput. 57 (6) (2019)
Jana Krohova, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, Michal Javorka
Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. Entropy 21 (5) (2019)
Riccardo Pernice, Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Alessandro Busacca, Luca Faes
A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability. EMBC (2019)
Riccardo Pernice, Giandomenico Nollo, Matteo Zanetti, Mariolino De Cecco, Alessandro Busacca, Luca Faes
Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing. EUROCON (2019)
Matteo Zanetti, Luca Faes, Mariolino De Cecco, Alberto Fornaser, Martina Valente, Giovanni M. A. Guandalini, Giandomenico Nollo
Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices. ForItAAL (2018)
Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Zuzana Lazarova, Radovan Wiszt, Luca Faes
Towards understanding the complexity of cardiovascular oscillations: Insights from information theory. Comput. Biol. Medicine 98 (2018)
Gaetano Valenza, Luca Faes, Luca Citi, Michele Orini, Riccardo Barbieri
Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardiorespiratory Nonstationary Dynamics. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Luca Faes, Vlasta Bari, Marco Ranucci, Alberto Porta
Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia. EMBC (2018)
Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo
Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models. Complex. 2017 (2017)
Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka
Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks. Entropy 19 (1) (2017)
Sebastiano Stramaglia, Iege Bassez, Luca Faes, Daniele Marinazzo
Multiscale Granger causality analysis by à trous wavelet transform. IWASI (2017)
Vlasta Bari, Luca Faes, Davide Tonon, Beatrice De Maria, Giovanni Ranuzzi, Gianluca Rossato, Alberto Porta
Impact of Nonstationarities on Short Heart Rate Variability Recordings During Obstructive Sleep Apnea. CinC (2017)
Alberto Porta, Vlasta Bari, Beatrice De Maria, Anielle C. M. Takahashi, Stefano Guzzetti, Riccardo Colombo, Aparecida Maria Catai, Ferdinando Raimondi, Luca Faes
Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks. IEEE Trans. Biomed. Eng. 64 (11) (2017)
Martina Valente, Michal Javorka, Zuzana Turianikova, Barbora Czippelova, Jana Krohova, Giandomenico Nollo, Luca Faes
Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators. EMBC (2017)
Alberto Porta, Beatrice De Maria, Vlasta Bari, Andrea Marchi, Luca Faes
Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One? IEEE Trans. Biomed. Eng. 64 (6) (2017)
Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. Entropy 19 (8) (2017)
Luca Faes, Alberto Greco, Antonio Lanatà, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectives. EMBC (2017)
Luca Faes, Giandomenico Nollo, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Michal Javorka
Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks. EMBC (2017)
Michal Javorka, Barbora Czippelova, Zuzana Turianikova, Zuzana Lazarova, Ingrid Tonhajzerova, Luca Faes
Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms. Medical Biol. Eng. Comput. 55 (2) (2017)
Alejandro Alcaine, Michela Masè, Alessandro Cristoforetti, Flavia Ravelli, Giandomenico Nollo, Pablo Laguna, Juan Pablo Martínez, Luca Faes
A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions During Atrial Fibrillation. IEEE Trans. Biomed. Eng. 64 (5) (2017)
Alberto Porta, Luca Faes
Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience. Proc. IEEE 104 (2) (2016)
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR (2016)
Carolina Varon, Luca Faes, Dries Testelmans, Bertien Buyse, Sabine Van Huffel
Information Transfer Between Respiration and Heart Rate During Sleep Apnea. CinC (2016)
Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesús M. Cortés, Luca Faes, Daniele Marinazzo
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. IEEE Trans. Biomed. Eng. 63 (12) (2016)
Lucia Schiatti, Luca Faes, Jacopo Tessadori, Giacinto Barresi, Leonardo S. Mattos
Mutual information-based feature selection for low-cost BCIs based on motor imagery. EMBC (2016)
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
Multiscale analysis of information dynamics for linear multivariate processes. EMBC (2016)
Luca Faes, Daniele Marinazzo, Giandomenico Nollo, Alberto Porta
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram. IEEE Trans. Biomed. Eng. 63 (12) (2016)
Luca Faes, Alberto Porta, Giandomenico Nollo
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. Entropy 17 (1) (2015)
Gaetano Valenza, Luca Faes, Luca Citi, Michele Orini, Riccardo Barbieri
Instantaneous transfer entropy for the study of cardio-respiratory dynamics. EMBC (2015)
Dorota Wejer, Luca Faes, Danuta Makowiec
Causal relationships in the variability of cardiovascular system evoked by orthostatic stress by transfer entropy. EMBC (2015)
Luca Faes, Alberto Porta, Giandomenico Nollo
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability. EMBC (2015)
Luca Faes, Alberto Porta, Giandomenico Nollo
Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability. EMBC (2015)
Luca Faes, Daniele Marinazzo, Giandomenico Nollo
Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep. CinC (2015)
Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks 71 (2015)
Devy Widjaja, Carolina Varon, Dries Testelmans, Bertien Buyse, Luca Faes, Sabine Van Huffel
Separating Respiratory Influences from the Tachogram: Methods and their Sensitivity to the Type of Respiratory Signal. CinC (2014)
Luca Faes, Devy Widjaja, Sabine Van Huffel, Giandomenico Nollo
Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework. EMBC (2014)
Devy Widjaja, Luca Faes, Alessandro Montalto, Ilse Van Diest, Daniele Marinazzo, Sabine Van Huffel
Information dynamics in cardiorespiratory analyses: Application to controlled breathing. EMBC (2014)
Carolina Varon, Katrien Jansen, Lieven Lagae, Luca Faes, Sabine Van Huffel
Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures. CinC (2014)
Luca Faes, Daniele Marinazzo, Alessandro Montalto, Giandomenico Nollo
Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer. IEEE Trans. Biomed. Eng. 61 (10) (2014)
Luca Faes, Giandomenico Nollo
Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability. EMBC (2013)
Luca Faes, Alessandro Montalto, Giandomenico Nollo, Daniele Marinazzo
Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability. CinC (2013)
Luca Faes, Giandomenico Nollo, Alberto Porta
Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series. Entropy 15 (1) (2013)
Alessandro Montalto, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, Luca Faes
Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability. CinC (2013)
Luca Faes, Giandomenico Nollo
Measuring frequency domain granger causality for multiple blocks of interacting time series. Biol. Cybern. 107 (2) (2013)
Luca Faes, Giandomenico Nollo, Alberto Porta
Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. Comput. Biol. Medicine 42 (3) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luca Faes