Luca Faes

Orcid: 0000-0002-3271-5348

According to our database1, Luca Faes authored at least 116 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
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., May, 2024

2023
Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope.
Medical Biol. Eng. Comput., December, 2023

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses.
Biomed. Signal Process. Control., September, 2023

Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy.
Entropy, July, 2023

On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions.
Entropy, April, 2023

Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes.
IEEE Trans. Signal Process., 2022

Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions.
IEEE Trans. Biomed. Eng., 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.
Sensors, 2022

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic.
Entropy, 2022

Gradients of O-information: low-order descriptors of high-order dependencies.
CoRR, 2022

Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography.
Comput. Methods Programs Biomed., 2022

Measuring the Amount of Concomitant Firing during Neural Development.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation.
IEEE Trans. Biomed. Eng., 2021

An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains.
IEEE Trans. Biomed. Eng., 2021

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators.
PeerJ Comput. Sci., 2021

A Measure of Concurrent Neural Firing Activity Based on Mutual Information.
Neuroinformatics, 2021

Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors.
Medical Biol. Eng. Comput., 2021

Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices.
J. Ambient Intell. Humaniz. Comput., 2021

Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics.
Entropy, 2021

Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction.
Biomed. Signal Process. Control., 2021

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition.
IEEE Access, 2021

Assessing Transfer Entropy in cardiovascular and respiratory time series under long-range correlations.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability <sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Correlation Between Baroreflex Sensitivity and Cerebral Autoregulation Index in Healthy Subjects.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Synergistic Information Transfer in the Global System of Financial Markets.
Entropy, 2020

Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series.
Entropy, 2020

Assessing Complexity in Physiological Systems through Biomedical Signals Analysis.
Entropy, 2020

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks.
Entropy, 2020

Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data.
Comput. Math. Methods Medicine, 2020

Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability.
Proceedings of the 28th European Signal Processing Conference, 2020

Information - theoretic characterization of concurrent activity of neural spike trains.
Proceedings of the 28th European Signal Processing Conference, 2020

Testing different methodologies for Granger causality estimation: A simulation study.
Proceedings of the 28th European Signal Processing Conference, 2020

An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.
Proceedings of the Computing in Cardiology, 2020

2019
Information decomposition of multichannel EMG to map functional interactions in the distributed motor system.
NeuroImage, 2019

Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring.
Medical Biol. Eng. Comput., 2019

Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress.
Entropy, 2019

Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.
Entropy, 2019

Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights From Rössler Systems, Electronic Chaotic Oscillators, Model and Biological Neurons.
IEEE Access, 2019

Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing.
Proceedings of the IEEE EUROCON 2019, 2019

Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular Interactions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Strength and Latency of the HP-SAP Closed Loop Variability Interactions in Subjects Prone to Develop Postural Syncope.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Computation of Mean Cerebral Blood Flow Velocity for the Assessment of Cerebral Autoregulation: Comparison of Different Strategies.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardiorespiratory Nonstationary Dynamics.
IEEE Trans. Biomed. Eng., 2018

Towards understanding the complexity of cardiovascular oscillations: Insights from information theory.
Comput. Biol. Medicine, 2018

Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices.
Proceedings of the Ambient Assisted Living, 2018

Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
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., 2017

Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks.
IEEE Trans. Biomed. Eng., 2017

A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2017

Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms.
Medical Biol. Eng. Comput., 2017

Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks.
Entropy, 2017

Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes.
Entropy, 2017

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models.
Complex., 2017

Multiscale Granger causality analysis by à trous wavelet transform.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectives.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Impact of Nonstationarities on Short Heart Rate Variability Recordings During Obstructive Sleep Apnea.
Proceedings of the Computing in Cardiology, 2017

2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.
IEEE Trans. Biomed. Eng., 2016

An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram.
IEEE Trans. Biomed. Eng., 2016

Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience.
Proc. IEEE, 2016

Mutual information-based feature selection for low-cost BCIs based on motor imagery.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Multiscale analysis of information dynamics for linear multivariate processes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Information Transfer Between Respiration and Heart Rate During Sleep Apnea.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.
Neural Networks, 2015

Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics.
Entropy, 2015

Causal relationships in the variability of cardiovascular system evoked by orthostatic stress by transfer entropy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Instantaneous transfer entropy for the study of cardio-respiratory dynamics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep.
Proceedings of the Computing in Cardiology, 2015

2014
Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer.
IEEE Trans. Biomed. Eng., 2014

Information dynamics in cardiorespiratory analyses: Application to controlled breathing.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Separating Respiratory Influences from the Tachogram: Methods and their Sensitivity to the Type of Respiratory Signal.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series.
Entropy, 2013

Measuring frequency domain granger causality for multiple blocks of interacting time series.
Biol. Cybern., 2013

Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.
Proceedings of the Computing in Cardiology, 2013

Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability.
Proceedings of the Computing in Cardiology, 2013

2012
Propagation Pattern Analysis During Atrial Fibrillation Based on Sparse Modeling.
IEEE Trans. Biomed. Eng., 2012

Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis.
Comput. Math. Methods Medicine, 2012

Methodological Advances in Brain Connectivity.
Comput. Math. Methods Medicine, 2012

Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series.
Comput. Biol. Medicine, 2012

Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks.
Biomed. Signal Process. Control., 2012

Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Assessing directional interactions among multiple physiological time series: The role of instantaneous causality.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Testing Frequency-Domain Causality in Multivariate Time Series.
IEEE Trans. Biomed. Eng., 2010

Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.
Biol. Cybern., 2010

2009
Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability.
IEEE Trans. Biomed. Eng., 2009

A Method for the Time-Varying Nonlinear Prediction of Complex Nonstationary Biomedical Signals.
IEEE Trans. Biomed. Eng., 2009

2008
An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms.
IEEE Trans. Biomed. Eng., 2008

2006
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., 2006

Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.
Medical Biol. Eng. Comput., 2006

2004
Surrogate data analysis for assessing the significance of the coherence function.
IEEE Trans. Biomed. Eng., 2004

Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals.
Biol. Cybern., 2004

2002
A method for quantifying atrial fibrillation organization based on wave-morphology similarity.
IEEE Trans. Biomed. Eng., 2002


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