Luca Faes - RankMe

136 papers Misc 1Journal 80Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measures. Medical Biol. Eng. Comput. Roberta Saputo, Riccardo Pernice, Laura Sparacino, Vlasta Bari, Francesca Gelpi, Alberto Porta, Luca Faes
2026	J	`jnl`	Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress. PLoS Comput. Biol. Chiara Barà, Laura Sparacino, Luca Faes, Michal Javorka
2026	J	`jnl`	Estimating the mutual information rate of short time series from coupled dynamic systems. Commun. Nonlinear Sci. Numer. Simul. Hélder Pinto, Yuri Antonacci, Chiara Barà, Riccardo Pernice, Ivan Lazic, Luca Faes, Ana Paula Rocha
2025	J	`jnl`	A Model-Free Method to Quantify Memory Utilization in Neural Point Processes. IEEE Trans. Biomed. Eng. Gorana Mijatovic, Sebastiano Stramaglia, Luca Faes
2025	J	`jnl`	Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II. Entropy Paolo Castiglioni, Luca Faes, Gaetano Valenza, Andrea Faini
2025	—	`conf`	Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. COINS Marta Iovino, Marlis Ontivero-Ortega, Chiara Barà, Sebastiano Stramaglia, Michal Javorka, Riccardo Pernice, Luca Faes
2025	J	`jnl`	Decomposing Multivariate Information Rates in Networks of Random Processes. CoRR Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2025	J	`jnl`	Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessment. Frontiers Comput. Neurosci. Tijana Bojic, Luca Faes, Steffen Schulz, Tomislav Stankovski
2025	J	`jnl`	Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices. Comput. Biol. Medicine Anna Raimondi, Alessandro Busacca, Giuseppe Costantino Giaconia, Yuri Antonacci, Salvatore Stivala, Luca Faes, Riccardo Pernice
2025	J	`jnl`	Exploring transient neurophysiological states through local and time-varying measures of information dynamics. Appl. Math. Comput. Yuri Antonacci, Chiara Barà, Giulio de Felice, Antonino Sferlazza, Riccardo Pernice, Luca Faes
2025	J	`jnl`	Information-theoretic Quantification of High-order Feature Effects in Classification Problems. CoRR Ivan Lazic, Chiara Barà, Marta Iovino, Sebastiano Stramaglia, Niksa Jakovljevic, Luca Faes
2025	J	`jnl`	Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies. Entropy Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
2025	J	`jnl`	Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks. Neurocomputing Laura Sparacino, Yuri Antonacci, Gorana Mijatovic, Luca Faes
2025	J	`jnl`	Network Representation of Higher-Order Interactions Based on Information Dynamics. IEEE Trans. Netw. Sci. Eng. Gorana Mijatovic, Yuri Antonacci, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2025	J	`jnl`	Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors in Physiological Networks. IEEE Trans. Biomed. Eng. Luca Faes, Gorana Mijatovic, Laura Sparacino, Alberto Porta
2025	J	`jnl`	Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network. IEEE Trans. Biomed. Eng. Yuri Antonacci, Chiara Barà, Laura Sparacino, Ileana Pirovano, Alfonso Mastropietro, Giovanna Rizzo, Luca Faes
2025	J	`jnl`	State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure. Entropy Beatrice Cairo, Riccardo Pernice, Nikola N. Radovanovic, Luca Faes, Alberto Porta, Mirjana M. Platisa
2025	J	`jnl`	Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device. Entropy Irene Franzone, Yuri Antonacci, Fabrizio Giuliano, Riccardo Pernice, Alessandro Busacca, Luca Faes, Giuseppe Costantino Giaconia
2024	J	`jnl`	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. Laura Sparacino, Yuri Antonacci, Chiara Barà, Angela Valenti, Alberto Porta, Luca Faes
2024	—	`conf`	Describing the Response of Cerebral Autoregulation to Postural Challenge via State Space Correspondence Methods. EMBC Alberto Porta, Beatrice Cairo, Vlasta Bari, Francesca Gelpi, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
2023	J	`jnl`	Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope. Medical Biol. Eng. Comput. Alberto Porta, Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
2023	—	`conf`	Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. EMBC Hélder Pinto, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Michal Javorka, Luca Faes, Ana Paula Rocha
2023	—	`conf`	Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. EMBC Gorana Mijatovic, Chiara Barà, Riccardo Pernice, Tatjana Loncar-Turukalo, Giandomenico Nollo, Luca Faes
2023	J	`jnl`	Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy. Entropy Mirjana M. Platisa, Nikola N. Radovanovic, Riccardo Pernice, Chiara Barà, Sinisa U. Pavlovic, Luca Faes
2023	—	`conf`	Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. EMBC Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia
2023	J	`jnl`	Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. Biomed. Signal Process. Control. Chiara Barà, Andrea Zaccaro, Yuri Antonacci, Matteo Dalla Riva, Alessandro Busacca, Francesca Ferri, Luca Faes, Riccardo Pernice
2023	J	`jnl`	On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions. Entropy Alberto Porta, Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
2023	—	`conf`	Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis. EMBC Laura Sparacino, Martina Valentino, Yuri Antonacci, Giuseppe Parla, Gianvincenzo Sparacia, Luca Faes
2022	J	`jnl`	A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. IEEE Trans. Signal Process. Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
2022	—	`conf`	A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography. MeMeA Gabriele Volpes, Laura Sparacino, Simone Valenti, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice
2022	—	`conf`	A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications. MeMeA Simone Valenti, Gabriele Volpes, Antonino Parisi, Riccardo Pernice, Salvatore Stivala, Luca Faes, Alessandro Busacca
2022	J	`jnl`	Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography. Comput. Methods Programs Biomed. Hooseok Lee, Heewon Chung, Hoon Ko, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice, Jinseok Lee
2022	—	`conf`	Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks. ICIAP Workshops (1) Simone Valenti, Laura Sparacino, Riccardo Pernice, Daniele Marinazzo, Hannes Almgren, Albert Comelli, Luca Faes
2022	J	`jnl`	Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions. IEEE Trans. Biomed. Eng. Alberto Porta, Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Marco Ranucci, Luca Faes
2022	—	`conf`	Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions. EMBC Alberto Porta, Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes
2022	—	`conf`	Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. EMBC Ileana Pirovano, Alfonso Mastropietro, Eleonora Guanziroli, Franco Molteni, Luca Faes, Giovanna Rizzo
2022	J	`jnl`	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 Gabriele Volpes, Chiara Barà, Alessandro Busacca, Salvatore Stivala, Michal Javorka, Luca Faes, Riccardo Pernice
2022	J	`jnl`	Gradients of O-information: low-order descriptors of high-order dependencies. CoRR Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
2022	J	`jnl`	Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. Entropy Gorana Mijatovic, Dragan Kljajic, Karolina K. Kasas-Lazetic, Miodrag Milutinov, Salvatore Stivala, Alessandro Busacca, Alfonso C. Cino, Sebastiano Stramaglia, Luca Faes
2022	Misc	`conf`	Measuring the Amount of Concomitant Firing during Neural Development. SISY Gorana Mijatovic, Natalija Vukosavljevic, Yuri Antonacci, Luca Faes, Tatjana Loncar-Turukalo
2022	—	`conf`	Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. COMPLEX NETWORKS (1) Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021	J	`jnl`	A Measure of Concurrent Neural Firing Activity Based on Mutual Information. Neuroinformatics Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Nina Milosavljevic, Riccardo Storchi, Luca Faes
2021	—	`conf`	A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. EMBC Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes
2021	J	`jnl`	An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. IEEE Trans. Biomed. Eng. Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes
2021	—	`conf`	Assessing Transfer Entropy in cardiovascular and respiratory time series under long-range correlations. EMBC Hélder Pinto, Riccardo Pernice, Celestino Amado, Maria Eduarda Silva, Michal Javorka, Luca Faes, Ana Paula Rocha
2021	J	`jnl`	Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics. Entropy Ivan Lazic, Riccardo Pernice, Tatjana Loncar-Turukalo, Gorana Mijatovic, Luca Faes
2021	J	`jnl`	Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction. Biomed. Signal Process. Control. Riccardo Pernice, Laura Sparacino, Giandomenico Nollo, Salvatore Stivala, Alessandro Busacca, Luca Faes
2021	—	`conf`	Correlation Between Baroreflex Sensitivity and Cerebral Autoregulation Index in Healthy Subjects. CinC Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
2021	J	`jnl`	Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Comput. Sci. Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi
2021	—	`conf`	Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability EMBC Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, Michal Javorka, Alessandro Busacca, Luca Faes
2021	J	`jnl`	Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. IEEE Access Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021	—	`conf`	Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. EMBC Gorana Mijatovic, Yuri Antonacci, Luca Faes
2021	J	`jnl`	Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation. IEEE Trans. Biomed. Eng. 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
2021	J	`jnl`	Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. J. Ambient Intell. Humaniz. Comput. Matteo Zanetti, Teruhiro Mizumoto, Luca Faes, Alberto Fornaser, Mariolino De Cecco, Luca Maule, Martina Valente, Giandomenico Nollo
2021	J	`jnl`	Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors. Medical Biol. Eng. Comput. Shadi Ghiasi, Alberto Greco, Luca Faes, Michal Javorka, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
2020	—	`conf`	An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions. EMBC Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
2020	J	`jnl`	Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. Entropy Paolo Castiglioni, Luca Faes, Gaetano Valenza
2020	—	`conf`	Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. EUSIPCO Davide Nuzzi, Luca Faes, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia
2020	—	`conf`	Information - theoretic characterization of concurrent activity of neural spike trains. EUSIPCO Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Luca Faes
2020	—	`conf`	Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models EMBC Yuri Antonacci, Luca Faes, Laura Astolfi
2020	J	`jnl`	Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. Entropy Yuri Antonacci, Laura Astolfi, Giandomenico Nollo, Luca Faes
2020	J	`jnl`	Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series. Entropy Aurora L. R. Martins, Riccardo Pernice, Celestino Amado, Ana Paula Rocha, Maria Eduarda Silva, Michal Javorka, Luca Faes
2020	J	`jnl`	Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data. Comput. Math. Methods Medicine Jinghua Zhang, Liugen Xue, Luca Faes
2020	—	`conf`	Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. CinC Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz, José Joaquín Rieta
2020	J	`jnl`	Synergistic Information Transfer in the Global System of Financial Markets. Entropy Tomas Scagliarini, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, Rosario N. Mantegna
2020	—	`conf`	Testing different methodologies for Granger causality estimation: A simulation study. EUSIPCO Yuri Antonacci, Laura Astolfi, Luca Faes
2019	—	`conf`	A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular Interactions. EMBC Luca Faes, Jana Krohova, Riccardo Pernice, Alessandro Busacca, Michal Javorka
2019	—	`conf`	A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability. EMBC Riccardo Pernice, Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Alessandro Busacca, Luca Faes
2019	J	`jnl`	Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring. Medical Biol. Eng. Comput. Riccardo Pernice, Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Alessandro Busacca, Luca Faes
2019	—	`conf`	Computation of Mean Cerebral Blood Flow Velocity for the Assessment of Cerebral Autoregulation: Comparison of Different Strategies. CinC Emanuele Vaini, Vlasta Bari, Davide Tonon, Beatrice Cairo, Beatrice De Maria, Luca Faes, Gianluca Rossato, Alberto Porta
2019	J	`jnl`	Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights From Rössler Systems, Electronic Chaotic Oscillators, Model and Biological Neurons. IEEE Access Ludovico Minati, Hiroyuki Ito, Alessio Perinelli, Leonardo Ricci, Luca Faes, Natsue Yoshimura, Yasuharu Koike, Mattia Frasca
2019	J	`jnl`	Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. Entropy Matteo Zanetti, Luca Faes, Giandomenico Nollo, Mariolino De Cecco, Riccardo Pernice, Luca Maule, Marco Pertile, Alberto Fornaser
2019	J	`jnl`	Information decomposition of multichannel EMG to map functional interactions in the distributed motor system. NeuroImage Tjeerd W. Boonstra, Luca Faes, Jennifer N. Kerkman, Daniele Marinazzo
2019	—	`conf`	Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing. EUROCON Riccardo Pernice, Giandomenico Nollo, Matteo Zanetti, Mariolino De Cecco, Alessandro Busacca, Luca Faes
2019	J	`jnl`	Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. Entropy Jana Krohova, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, Michal Javorka
2019	—	`conf`	Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress. EMBC Riccardo Pernice, Matteo Zanetti, Giandomenico Nollo, Mariolino De Cecco, Alessandro Busacca, Luca Faes
2019	—	`conf`	Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept. EMBC Shadi Ghiasi, Alberto Greco, Luca Faes, Michal Javorka, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
2019	—	`conf`	Strength and Latency of the HP-SAP Closed Loop Variability Interactions in Subjects Prone to Develop Postural Syncope. EMBC Vlasta Bari, Beatrice Cairo, Emanuele Vaini, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes, Alberto Porta
2018	—	`conf`	Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices. ForItAAL Matteo Zanetti, Luca Faes, Mariolino De Cecco, Alberto Fornaser, Martina Valente, Giovanni Maria Achille Guandalini, Giandomenico Nollo
2018	J	`jnl`	Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardiorespiratory Nonstationary Dynamics. IEEE Trans. Biomed. Eng. Gaetano Valenza, Luca Faes, Luca Citi, Michele Orini, Riccardo Barbieri
2018	—	`conf`	Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia. EMBC Luca Faes, Vlasta Bari, Marco Ranucci, Alberto Porta
2018	J	`jnl`	Towards understanding the complexity of cardiovascular oscillations: Insights from information theory. Comput. Biol. Medicine Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Zuzana Lazarova, Radovan Wiszt, Luca Faes
2017	J	`jnl`	A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions During Atrial Fibrillation. IEEE Trans. Biomed. Eng. Alejandro Alcaine, Michela Masè, Alessandro Cristoforetti, Flavia Ravelli, Giandomenico Nollo, Pablo Laguna, Juan Pablo Martínez, Luca Faes
2017	J	`jnl`	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. Alberto Porta, Beatrice De Maria, Vlasta Bari, Andrea Marchi, Luca Faes
2017	—	`conf`	Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators. EMBC Martina Valente, Michal Javorka, Zuzana Turianikova, Barbora Czippelova, Jana Krohova, Giandomenico Nollo, Luca Faes
2017	J	`jnl`	Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms. Medical Biol. Eng. Comput. Michal Javorka, Barbora Czippelova, Zuzana Turianikova, Zuzana Lazarova, Ingrid Tonhajzerova, Luca Faes
2017	—	`conf`	Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectives. EMBC Luca Faes, Alberto Greco, Antonio Lanatà, Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
2017	J	`jnl`	Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models. Complex. Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo
2017	—	`conf`	Impact of Nonstationarities on Short Heart Rate Variability Recordings During Obstructive Sleep Apnea. CinC Vlasta Bari, Luca Faes, Davide Tonon, Beatrice De Maria, Giovanni Ranuzzi, Gianluca Rossato, Alberto Porta
2017	J	`jnl`	Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks. Entropy Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka
2017	—	`conf`	Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks. EMBC Luca Faes, Giandomenico Nollo, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Michal Javorka
2017	—	`conf`	Multiscale Granger causality analysis by à trous wavelet transform. IWASI Sebastiano Stramaglia, Iege Bassez, Luca Faes, Daniele Marinazzo
2017	J	`jnl`	Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. Entropy Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
2017	J	`jnl`	Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks. IEEE Trans. Biomed. Eng. Alberto Porta, Vlasta Bari, Beatrice De Maria, Anielle C. M. Takahashi, Stefano Guzzetti, Riccardo Colombo, Aparecida Maria Catai, Ferdinando Raimondi, Luca Faes
2016	J	`jnl`	An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram. IEEE Trans. Biomed. Eng. Luca Faes, Daniele Marinazzo, Giandomenico Nollo, Alberto Porta
2016	—	`conf`	Information Transfer Between Respiration and Heart Rate During Sleep Apnea. CinC Carolina Varon, Luca Faes, Dries Testelmans, Bertien Buyse, Sabine Van Huffel
2016	J	`jnl`	Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
2016	—	`conf`	Multiscale analysis of information dynamics for linear multivariate processes. EMBC Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
2016	—	`conf`	Mutual information-based feature selection for low-cost BCIs based on motor imagery. EMBC Lucia Schiatti, Luca Faes, Jacopo Tessadori, Giacinto Barresi, Leonardo S. Mattos
2016	J	`jnl`	Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. IEEE Trans. Biomed. Eng. Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesús M. Cortés, Luca Faes, Daniele Marinazzo
2016	J	`jnl`	Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience. Proc. IEEE Alberto Porta, Luca Faes
2015	—	`conf`	Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability. EMBC Luca Faes, Alberto Porta, Giandomenico Nollo
2015	—	`conf`	Causal relationships in the variability of cardiovascular system evoked by orthostatic stress by transfer entropy. EMBC Dorota Wejer, Luca Faes, Danuta Makowiec
2015	J	`jnl`	Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. Entropy Luca Faes, Alberto Porta, Giandomenico Nollo
2015	—	`conf`	Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep. CinC Luca Faes, Daniele Marinazzo, Giandomenico Nollo
2015	—	`conf`	Instantaneous transfer entropy for the study of cardio-respiratory dynamics. EMBC Gaetano Valenza, Luca Faes, Luca Citi, Michele Orini, Riccardo Barbieri
2015	J	`jnl`	Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo
2015	—	`conf`	Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability. EMBC Luca Faes, Alberto Porta, Giandomenico Nollo
2014	—	`conf`	Information dynamics in cardiorespiratory analyses: Application to controlled breathing. EMBC Devy Widjaja, Luca Faes, Alessandro Montalto, Ilse Van Diest, Daniele Marinazzo, Sabine Van Huffel
2014	—	`conf`	Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework. EMBC Luca Faes, Devy Widjaja, Sabine Van Huffel, Giandomenico Nollo
2014	J	`jnl`	Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer. IEEE Trans. Biomed. Eng. Luca Faes, Daniele Marinazzo, Alessandro Montalto, Giandomenico Nollo
2014	—	`conf`	Separating Respiratory Influences from the Tachogram: Methods and their Sensitivity to the Type of Respiratory Signal. CinC Devy Widjaja, Carolina Varon, Dries Testelmans, Bertien Buyse, Luca Faes, Sabine Van Huffel
2014	—	`conf`	Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures. CinC Carolina Varon, Katrien Jansen, Lieven Lagae, Luca Faes, Sabine Van Huffel
2013	—	`conf`	Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability. CinC Alessandro Montalto, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, Luca Faes
2013	J	`jnl`	Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series. Entropy Luca Faes, Giandomenico Nollo, Alberto Porta
2013	—	`conf`	Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability. EMBC Luca Faes, Giandomenico Nollo
2013	—	`conf`	Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability. CinC Luca Faes, Alessandro Montalto, Giandomenico Nollo, Daniele Marinazzo
2013	J	`jnl`	Measuring frequency domain granger causality for multiple blocks of interacting time series. Biol. Cybern. Luca Faes, Giandomenico Nollo
2012	—	`conf`	Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series. EMBC Luca Faes, Silvia Erla, Giandomenico Nollo
2012	J	`jnl`	Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis. Comput. Math. Methods Medicine Luca Faes, Silvia Erla, Giandomenico Nollo
2012	J	`jnl`	Methodological Advances in Brain Connectivity. Comput. Math. Methods Medicine Luca Faes, Ralph G. Andrzejak, Mingzhou Ding, Dimitris Kugiumtzis
2012	J	`jnl`	Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks. Biomed. Signal Process. Control. Silvia Erla, Luca Faes, Giandomenico Nollo, Carola Arfeller, Christoph Braun, Christos L. Papadelis
2012	J	`jnl`	Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. Comput. Biol. Medicine Luca Faes, Giandomenico Nollo, Alberto Porta
2012	J	`jnl`	Propagation Pattern Analysis During Atrial Fibrillation Based on Sparse Modeling. IEEE Trans. Biomed. Eng. Ulrike Richter, Luca Faes, Flavia Ravelli, Leif Sörnmo
2011	—	`conf`	Assessing directional interactions among multiple physiological time series: The role of instantaneous causality. EMBC Luca Faes, Giandomenico Nollo
2011	—	`conf`	Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO. EMBC Ulrike Richter, Luca Faes, Flavia Ravelli, Leif Sörnmo
2010	J	`jnl`	Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions. Biol. Cybern. Luca Faes, Giandomenico Nollo
2010	J	`jnl`	Testing Frequency-Domain Causality in Multivariate Time Series. IEEE Trans. Biomed. Eng. Luca Faes, Alberto Porta, Giandomenico Nollo
2009	J	`jnl`	A Method for the Time-Varying Nonlinear Prediction of Complex Nonstationary Biomedical Signals. IEEE Trans. Biomed. Eng. Luca Faes, Ki H. Chon, Giandomenico Nollo
2009	J	`jnl`	Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability. IEEE Trans. Biomed. Eng. Luca Faes, He Zhao, Ki H. Chon, Giandomenico Nollo
2008	J	`jnl`	An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Eng. Giandomenico Nollo, Mattia Marconcini, Luca Faes, Francesca Bovolo, Flavia Ravelli, Lorenzo Bruzzone
2006	J	`jnl`	Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability. Medical Biol. Eng. Comput. Luca Faes, Giandomenico Nollo
2006	J	`jnl`	Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope. IEEE Trans. Biomed. Eng. Luca Faes, Lamberto Widesott, Maurizio Del Greco, Renzo Antolini, Giandomenico Nollo
2004	J	`jnl`	Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals. Biol. Cybern. Luca Faes, Alberto Porta, R. Cucino, Sergio Cerutti, Renzo Antolini, Giandomenico Nollo
2004	J	`jnl`	Surrogate data analysis for assessing the significance of the coherence function. IEEE Trans. Biomed. Eng. Luca Faes, Gian Domenico Pinna, Alberto Porta, Roberto Maestri, Giandomenico Nollo
2002	J	`jnl`	A method for quantifying atrial fibrillation organization based on wave-morphology similarity. IEEE Trans. Biomed. Eng. Luca Faes, Giandomenico Nollo, Renzo Antolini, Fiorenzo Gaita, Flavia Ravelli