A method for quantifying atrial fibrillation organization based on wave-morphology similarity. - Luca Faes; Giandomenico Nollo; Renzo Antolini; Fiorenzo Gaita; Flavia Ravelli (IEEE Trans. Biomed. Eng., 2002)

Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals. - Luca Faes; Alberto Porta; R. Cucino; Sergio Cerutti; Renzo Antolini; Giandomenico Nollo (Biol. Cybern., 2004)

Surrogate data analysis for assessing the significance of the coherence function. - Luca Faes; Gian Domenico Pinna; Alberto Porta; Roberto Maestri; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2004)

Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability. - Luca Faes; Giandomenico Nollo (Medical Biol. Eng. Comput., 2006)

Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope. - Luca Faes; Lamberto Widesott; Maurizio Del Greco; Renzo Antolini; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2006)

An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. - Giandomenico Nollo; Mattia Marconcini; Luca Faes; Francesca Bovolo; Flavia Ravelli; Lorenzo Bruzzone (IEEE Trans. Biomed. Eng., 2008)

A Method for the Time-Varying Nonlinear Prediction of Complex Nonstationary Biomedical Signals. - Luca Faes; Ki H. Chon; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2009)

Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability. - Luca Faes; He Zhao 012; Ki H. Chon; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2009)

Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions. - Luca Faes; Giandomenico Nollo (Biol. Cybern., 2010)

Testing Frequency-Domain Causality in Multivariate Time Series. - Luca Faes; Alberto Porta; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2010)

Assessing directional interactions among multiple physiological time series: The role of instantaneous causality. - Luca Faes; Giandomenico Nollo (EMBC, 2011)

Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO. - Ulrike Richter; Luca Faes; Flavia Ravelli; Leif Sörnmo (EMBC, 2011)

Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series. - Luca Faes; Silvia Erla; Giandomenico Nollo (EMBC, 2012)

Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks. - Silvia Erla; Luca Faes; Giandomenico Nollo; Carola Arfeller; Christoph Braun 001; Christos L. Papadelis (Biomed. Signal Process. Control., 2012)

Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. - Luca Faes; Giandomenico Nollo; Alberto Porta (Comput. Biol. Medicine, 2012)

Methodological Advances in Brain Connectivity. - Luca Faes; Ralph G. Andrzejak; Mingzhou Ding; Dimitris Kugiumtzis (Comput. Math. Methods Medicine, 2012)

Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis. - Luca Faes; Silvia Erla; Giandomenico Nollo (Comput. Math. Methods Medicine, 2012)

Propagation Pattern Analysis During Atrial Fibrillation Based on Sparse Modeling. - Ulrike Richter; Luca Faes; Flavia Ravelli; Leif Sörnmo (IEEE Trans. Biomed. Eng., 2012)

Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability. - Luca Faes; Alessandro Montalto; Giandomenico Nollo; Daniele Marinazzo (CinC, 2013)

Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability. - Alessandro Montalto; Daniele Marinazzo; Dimitris Kugiumtzis; Giandomenico Nollo; Luca Faes (CinC, 2013)

Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability. - Luca Faes; Giandomenico Nollo (EMBC, 2013)

Measuring frequency domain granger causality for multiple blocks of interacting time series. - Luca Faes; Giandomenico Nollo (Biol. Cybern., 2013)

Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series. - Luca Faes; Giandomenico Nollo; Alberto Porta (Entropy, 2013)

Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures. - Carolina Varon; Katrien Jansen; Lieven Lagae; Luca Faes; Sabine Van Huffel (CinC, 2014)

Separating Respiratory Influences from the Tachogram: Methods and their Sensitivity to the Type of Respiratory Signal. - Devy Widjaja; Carolina Varon; Dries Testelmans; Bertien Buyse; Luca Faes; Sabine Van Huffel (CinC, 2014)

Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework. - Luca Faes; Devy Widjaja; Sabine Van Huffel; Giandomenico Nollo (EMBC, 2014)

Information dynamics in cardiorespiratory analyses: Application to controlled breathing. - Devy Widjaja; Luca Faes; Alessandro Montalto; Ilse Van Diest; Daniele Marinazzo; Sabine Van Huffel (EMBC, 2014)

Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer. - Luca Faes; Daniele Marinazzo; Alessandro Montalto; Giandomenico Nollo (IEEE Trans. Biomed. Eng., 2014)

Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep. - Luca Faes; Daniele Marinazzo; Giandomenico Nollo (CinC, 2015)

Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability. - Luca Faes; Alberto Porta; Giandomenico Nollo (EMBC, 2015)

Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability. - Luca Faes; Alberto Porta; Giandomenico Nollo (EMBC, 2015)

Instantaneous transfer entropy for the study of cardio-respiratory dynamics. - Gaetano Valenza; Luca Faes; Luca Citi; Michele Orini; Riccardo Barbieri (EMBC, 2015)

Causal relationships in the variability of cardiovascular system evoked by orthostatic stress by transfer entropy. - Dorota Wejer; Luca Faes; Danuta Makowiec (EMBC, 2015)

Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. - Luca Faes; Alberto Porta; Giandomenico Nollo (Entropy, 2015)

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. - Alessandro Montalto; Sebastiano Stramaglia; Luca Faes; Giovanni Tessitore; Roberto Prevete; Daniele Marinazzo (Neural Networks, 2015)

Information Transfer Between Respiration and Heart Rate During Sleep Apnea. - Carolina Varon; Luca Faes; Dries Testelmans; Bertien Buyse; Sabine Van Huffel (CinC, 2016)

Multiscale analysis of information dynamics for linear multivariate processes. - Luca Faes; Alessandro Montalto; Sebastiano Stramaglia; Giandomenico Nollo; Daniele Marinazzo (EMBC, 2016)

Mutual information-based feature selection for low-cost BCIs based on motor imagery. - Lucia Schiatti; Luca Faes; Jacopo Tessadori; Giacinto Barresi; Leonardo S. Mattos (EMBC, 2016)

Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience. - Alberto Porta; Luca Faes (Proc. IEEE, 2016)

An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram. - Luca Faes; Daniele Marinazzo; Giandomenico Nollo; Alberto Porta (IEEE Trans. Biomed. Eng., 2016)

Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. - Sebastiano Stramaglia; Leonardo Angelini; Guorong Wu 003; Jesús M. Cortés; Luca Faes; Daniele Marinazzo (IEEE Trans. Biomed. Eng., 2016)

Impact of Nonstationarities on Short Heart Rate Variability Recordings During Obstructive Sleep Apnea. - Vlasta Bari; Luca Faes; Davide Tonon; Beatrice De Maria; Giovanni Ranuzzi; Gianluca Rossato; Alberto Porta (CinC, 2017)

Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectives. - Luca Faes; Alberto Greco 001; Antonio Lanatà; Riccardo Barbieri; Enzo Pasquale Scilingo; Gaetano Valenza (EMBC, 2017)

Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks. - Luca Faes; Giandomenico Nollo; Jana Krohova; Barbora Czippelova; Zuzana Turianikova; Michal Javorka (EMBC, 2017)

Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators. - Martina Valente; Michal Javorka; Zuzana Turianikova; Barbora Czippelova; Jana Krohova; Giandomenico Nollo; Luca Faes (EMBC, 2017)

Multiscale Granger causality analysis by à trous wavelet transform. - Sebastiano Stramaglia; Iege Bassez; Luca Faes; Daniele Marinazzo (IWASI, 2017)

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models. - Luca Faes; Alberto Porta; Michal Javorka; Giandomenico Nollo (Complex., 2017)

Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. - Luca Faes; Daniele Marinazzo; Sebastiano Stramaglia (Entropy, 2017)

Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks. - Luca Faes; Alberto Porta; Giandomenico Nollo; Michal Javorka (Entropy, 2017)

Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms. - Michal Javorka; Barbora Czippelova; Zuzana Turianikova; Zuzana Lazarova; Ingrid Tonhajzerova; Luca Faes (Medical Biol. Eng. Comput., 2017)

A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions During Atrial Fibrillation. - Alejandro Alcaine; Michela Masè; Alessandro Cristoforetti; Flavia Ravelli; Giandomenico Nollo; Pablo Laguna; Juan Pablo Martínez 001; Luca Faes (IEEE Trans. Biomed. Eng., 2017)

Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks. - Alberto Porta; Vlasta Bari; Beatrice De Maria; Anielle C. M. Takahashi; Stefano Guzzetti; Riccardo Colombo; Aparecida Maria Catai; Ferdinando Raimondi; Luca Faes (IEEE Trans. Biomed. Eng., 2017)

Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One? - Alberto Porta; Beatrice De Maria; Vlasta Bari; Andrea Marchi; Luca Faes (IEEE Trans. Biomed. Eng., 2017)

Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia. - Luca Faes; Vlasta Bari; Marco Ranucci; Alberto Porta (EMBC, 2018)

Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices. - Matteo Zanetti; Luca Faes; Mariolino De Cecco; Alberto Fornaser; Martina Valente; Giovanni Maria Achille Guandalini; Giandomenico Nollo (ForItAAL, 2018)

Towards understanding the complexity of cardiovascular oscillations: Insights from information theory. - Michal Javorka; Jana Krohova; Barbora Czippelova; Zuzana Turianikova; Zuzana Lazarova; Radovan Wiszt; Luca Faes (Comput. Biol. Medicine, 2018)

Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardiorespiratory Nonstationary Dynamics. - Gaetano Valenza; Luca Faes; Luca Citi; Michele Orini; Riccardo Barbieri (IEEE Trans. Biomed. Eng., 2018)

Computation of Mean Cerebral Blood Flow Velocity for the Assessment of Cerebral Autoregulation: Comparison of Different Strategies. - Emanuele Vaini; Vlasta Bari; Davide Tonon; Beatrice Cairo; Beatrice De Maria; Luca Faes; Gianluca Rossato; Alberto Porta (CinC, 2019)

Strength and Latency of the HP-SAP Closed Loop Variability Interactions in Subjects Prone to Develop Postural Syncope. - Vlasta Bari; Beatrice Cairo; Emanuele Vaini; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes; Alberto Porta (EMBC, 2019)

A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular Interactions. - Luca Faes; Jana Krohova; Riccardo Pernice; Alessandro Busacca; Michal Javorka (EMBC, 2019)

Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept. - Shadi Ghiasi; Alberto Greco 001; Luca Faes; Michal Javorka; Riccardo Barbieri; Enzo Pasquale Scilingo; Gaetano Valenza (EMBC, 2019)

A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability. - Riccardo Pernice; Michal Javorka; Jana Krohova; Barbora Czippelova; Zuzana Turianikova; Alessandro Busacca; Luca Faes (EMBC, 2019)

Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress. - Riccardo Pernice; Matteo Zanetti; Giandomenico Nollo; Mariolino De Cecco; Alessandro Busacca; Luca Faes (EMBC, 2019)

Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing. - Riccardo Pernice; Giandomenico Nollo; Matteo Zanetti; Mariolino De Cecco; Alessandro Busacca; Luca Faes (EUROCON, 2019)

Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights From Rössler Systems, Electronic Chaotic Oscillators, Model and Biological Neurons. - Ludovico Minati; Hiroyuki Ito; Alessio Perinelli; Leonardo Ricci; Luca Faes; Natsue Yoshimura; Yasuharu Koike; Mattia Frasca (IEEE Access, 2019)

Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. - Jana Krohova; Luca Faes; Barbora Czippelova; Zuzana Turianikova; Nikoleta Mazgutova; Riccardo Pernice; Alessandro Busacca; Daniele Marinazzo; Sebastiano Stramaglia; Michal Javorka (Entropy, 2019)

Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. - Matteo Zanetti; Luca Faes; Giandomenico Nollo; Mariolino De Cecco; Riccardo Pernice; Luca Maule; Marco Pertile; Alberto Fornaser (Entropy, 2019)

Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring. - Riccardo Pernice; Michal Javorka; Jana Krohova; Barbora Czippelova; Zuzana Turianikova; Alessandro Busacca; Luca Faes (Medical Biol. Eng. Comput., 2019)

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system. - Tjeerd W. Boonstra; Luca Faes; Jennifer N. Kerkman; Daniele Marinazzo (NeuroImage, 2019)

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. - Aikaterini Vraka; Fernando Hornero; Aurelio Quesada; Luca Faes; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2020)

Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. - Yuri Antonacci; Luca Faes; Laura Astolfi (EMBC, 2020)

An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions. - Vlasta Bari; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes; Alberto Porta (EMBC, 2020)

Testing different methodologies for Granger causality estimation: A simulation study. - Yuri Antonacci; Laura Astolfi; Luca Faes (EUSIPCO, 2020)

Information - theoretic characterization of concurrent activity of neural spike trains. - Gorana Mijatovic; Tatjana Loncar-Turukalo; Nebojsa Bozanic; Luca Faes (EUSIPCO, 2020)

Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. - Davide Nuzzi; Luca Faes; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia (EUSIPCO, 2020)

Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data. - Jinghua Zhang; Liugen Xue; Luca Faes (Comput. Math. Methods Medicine, 2020)

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. - Yuri Antonacci; Laura Astolfi; Giandomenico Nollo; Luca Faes (Entropy, 2020)

Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. - Paolo Castiglioni; Luca Faes; Gaetano Valenza (Entropy, 2020)

Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series. - Aurora L. R. Martins; Riccardo Pernice; Celestino Amado; Ana Paula Rocha 002; Maria Eduarda Silva; Michal Javorka; Luca Faes (Entropy, 2020)

Synergistic Information Transfer in the Global System of Financial Markets. - Tomas Scagliarini; Luca Faes; Daniele Marinazzo; Sebastiano Stramaglia; Rosario N. Mantegna (Entropy, 2020)

Correlation Between Baroreflex Sensitivity and Cerebral Autoregulation Index in Healthy Subjects. - Francesca Gelpi; Vlasta Bari; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes; Alberto Porta (CinC, 2021)

A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. - Yuri Antonacci; Ludovico Minati; Gorana Mijatovic; Luca Faes (EMBC, 2021)

Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. - Gorana Mijatovic; Yuri Antonacci; Luca Faes (EMBC, 2021)

Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability *. - Riccardo Pernice; Gabriele Volpes; Jana Cernanova Krohova; Michal Javorka; Alessandro Busacca; Luca Faes (EMBC, 2021)

Assessing Transfer Entropy in cardiovascular and respiratory time series under long-range correlations. - Hélder Pinto; Riccardo Pernice; Celestino Amado; Maria Eduarda Silva; Michal Javorka; Luca Faes; Ana Paula Rocha 002 (EMBC, 2021)

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. - Yuri Antonacci; Ludovico Minati; Davide Nuzzi; Gorana Mijatovic; Riccardo Pernice; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Access, 2021)

Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction. - Riccardo Pernice; Laura Sparacino; Giandomenico Nollo; Salvatore Stivala; Alessandro Busacca; Luca Faes (Biomed. Signal Process. Control., 2021)

Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics. - Ivan Lazic; Riccardo Pernice; Tatjana Loncar-Turukalo; Gorana Mijatovic; Luca Faes (Entropy, 2021)

Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. - Matteo Zanetti; Teruhiro Mizumoto; Luca Faes; Alberto Fornaser; Mariolino De Cecco; Luca Maule; Martina Valente; Giandomenico Nollo (J. Ambient Intell. Humaniz. Comput., 2021)

Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors. - Shadi Ghiasi; Alberto Greco 001; Luca Faes; Michal Javorka; Riccardo Barbieri; Enzo Pasquale Scilingo; Gaetano Valenza (Medical Biol. Eng. Comput., 2021)

A Measure of Concurrent Neural Firing Activity Based on Mutual Information. - Gorana Mijatovic; Tatjana Loncar-Turukalo; Nebojsa Bozanic; Nina Milosavljevic; Riccardo Storchi; Luca Faes (Neuroinformatics, 2021)

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. - Yuri Antonacci; Ludovico Minati; Luca Faes; Riccardo Pernice; Giandomenico Nollo; Jlenia Toppi; Antonio Pietrabissa; Laura Astolfi (PeerJ Comput. Sci., 2021)

An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. - Gorana Mijatovic; Yuri Antonacci; Tatjana Loncar-Turukalo; Ludovico Minati; Luca Faes (IEEE Trans. Biomed. Eng., 2021)

Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation. - John F. Morales; Jonathan Moeyersons; Pablo Armañac; Michele Orini; Luca Faes; Sebastiaan Overeem; Merel van Gilst; Hans van Dijk 001; Sabine Van Huffel; Raquel Bailón; Carolina Varon (IEEE Trans. Biomed. Eng., 2021)

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. - Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (COMPLEX NETWORKS (1), 2022)

Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. - Ileana Pirovano; Alfonso Mastropietro; Eleonora Guanziroli; Franco Molteni; Luca Faes; Giovanna Rizzo (EMBC, 2022)

Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions. - Alberto Porta; Vlasta Bari; Francesca Gelpi; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes (EMBC, 2022)

Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks. - Simone Valenti; Laura Sparacino; Riccardo Pernice; Daniele Marinazzo; Hannes Almgren; Albert Comelli; Luca Faes (ICIAP Workshops (1), 2022)

A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications. - Simone Valenti; Gabriele Volpes; Antonino Parisi; Riccardo Pernice; Salvatore Stivala; Luca Faes; Alessandro Busacca (MeMeA, 2022)

A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography. - Gabriele Volpes; Laura Sparacino; Simone Valenti; Antonino Parisi; Alessandro Busacca; Luca Faes; Riccardo Pernice (MeMeA, 2022)

Measuring the Amount of Concomitant Firing during Neural Development. - Gorana Mijatovic; Natalija Vukosavljevic; Yuri Antonacci; Luca Faes; Tatjana Loncar-Turukalo (SISY, 2022)

Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography. - Hooseok Lee; Heewon Chung; Hoon Ko; Antonino Parisi; Alessandro Busacca; Luca Faes; Riccardo Pernice; Jinseok Lee (Comput. Methods Programs Biomed., 2022)

Gradients of O-information: low-order descriptors of high-order dependencies. - Tomas Scagliarini; Davide Nuzzi; Yuri Antonacci; Luca Faes; Fernando E. Rosas; Daniele Marinazzo; Sebastiano Stramaglia (CoRR, 2022)

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. - Gorana Mijatovic; Dragan Kljajic; Karolina K. Kasas-Lazetic; Miodrag Milutinov; Salvatore Stivala; Alessandro Busacca; Alfonso C. Cino; Sebastiano Stramaglia; Luca Faes (Entropy, 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 Measures. - Gabriele Volpes; Chiara Barà; Alessandro Busacca; Salvatore Stivala; Michal Javorka; Luca Faes; Riccardo Pernice (Sensors, 2022)

Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions. - Alberto Porta; Francesca Gelpi; Vlasta Bari; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Marco Ranucci; Luca Faes (IEEE Trans. Biomed. Eng., 2022)

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. - Luca Faes; Gorana Mijatovic; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Laura Sparacino; Marco Sammartino; Alberto Porta; Daniele Marinazzo; Sebastiano Stramaglia (IEEE Trans. Signal Process., 2022)

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. - Luca Faes; Gorana Mijatovic; Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia (EMBC, 2023)

Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. - Gorana Mijatovic; Chiara Barà; Riccardo Pernice; Tatjana Loncar-Turukalo; Giandomenico Nollo; Luca Faes (EMBC, 2023)

Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. - Hélder Pinto; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Michal Javorka; Luca Faes; Ana Paula Rocha 002 (EMBC, 2023)

Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis. - Laura Sparacino; Martina Valentino; Yuri Antonacci; Giuseppe Parla; Gianvincenzo Sparacia; Luca Faes (EMBC, 2023)

On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions. - Alberto Porta; Vlasta Bari; Francesca Gelpi; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes (Entropy, 2023)

Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy. - Mirjana M. Platisa; Nikola N. Radovanovic; Riccardo Pernice; Chiara Barà; Sinisa U. Pavlovic; Luca Faes (Entropy, 2023)

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. - Chiara Barà; Andrea Zaccaro; Yuri Antonacci; Matteo Dalla Riva; Alessandro Busacca; Francesca Ferri; Luca Faes; Riccardo Pernice (Biomed. Signal Process. Control., 2023)

Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope. - Alberto Porta; Francesca Gelpi; Vlasta Bari; Beatrice Cairo; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes (Medical Biol. Eng. Comput., 2023)

Describing the Response of Cerebral Autoregulation to Postural Challenge via State Space Correspondence Methods. - Alberto Porta; Beatrice Cairo; Vlasta Bari; Francesca Gelpi; Beatrice De Maria; Davide Tonon; Gianluca Rossato; Luca Faes (EMBC, 2024)

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability. - Laura Sparacino; Yuri Antonacci; Chiara Barà; Angela Valenti; Alberto Porta; Luca Faes (IEEE Trans. Biomed. Eng., 2024)

Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. - Marta Iovino; Marlis Ontivero-Ortega; Chiara Barà; Sebastiano Stramaglia; Michal Javorka; Riccardo Pernice; Luca Faes (COINS, 2025)

Exploring transient neurophysiological states through local and time-varying measures of information dynamics. - Yuri Antonacci; Chiara Barà; Giulio de Felice; Antonino Sferlazza; Riccardo Pernice; Luca Faes (Appl. Math. Comput., 2025)

Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices. - Anna Raimondi; Alessandro Busacca; Giuseppe Costantino Giaconia; Yuri Antonacci; Salvatore Stivala; Luca Faes; Riccardo Pernice (Comput. Biol. Medicine, 2025)

Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessment. - Tijana Bojic; Luca Faes; Steffen Schulz 002; Tomislav Stankovski (Frontiers Comput. Neurosci., 2025)

Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks. - Laura Sparacino; Yuri Antonacci; Gorana Mijatovic; Luca Faes (Neurocomputing, 2025)

Network Representation of Higher-Order Interactions Based on Information Dynamics. - Gorana Mijatovic; Yuri Antonacci; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Netw. Sci. Eng., 2025)

Decomposing Multivariate Information Rates in Networks of Random Processes. - Laura Sparacino; Gorana Mijatovic; Yuri Antonacci; Leonardo Ricci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (CoRR, 2025)

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network. - Yuri Antonacci; Chiara Barà; Laura Sparacino; Ileana Pirovano; Alfonso Mastropietro; Giovanna Rizzo; Luca Faes (IEEE Trans. Biomed. Eng., 2025)

Information-theoretic Quantification of High-order Feature Effects in Classification Problems. - Ivan Lazic; Chiara Barà; Marta Iovino; Sebastiano Stramaglia; Niksa Jakovljevic; Luca Faes (CoRR, 2025)

A Model-Free Method to Quantify Memory Utilization in Neural Point Processes. - Gorana Mijatovic; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Biomed. Eng., 2025)