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2020 – today
- 2024
[j61]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): 1454-1465 (2024)- 2023
- [j60]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): 105315 (2023) - [j59]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): 599 (2023) - [j58]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): 1072 (2023) - [j57]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): 3141-3157 (2023) - [c54]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: 1-4 - [c53]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: 1-4 - [c52]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: 1-4 - [c51]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: 1-4 - 2022
- [j56]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: 107126 (2022) - [j55]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): 726 (2022) - [j54]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): 9149 (2022) - [j53]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): 2065-2076 (2022) - [j52]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: 5766-5777 (2022) - [c50]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: 301-309 - [c49]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: 44-47 - [c48]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: 127-130 - [c47]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: 386-397 - [c46]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: 1-6 - [c45]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: 1-6 - [c44]Gorana Mijatovic, Natalija Vukosavljevic, Yuri Antonacci, Luca Faes, Tatjana Loncar-Turukalo:
Measuring the Amount of Concomitant Firing during Neural Development. SISY 2022: 331-336 - [i2]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 abs/2207.03581 (2022) - 2021
- [j51]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: 149486-149505 (2021) - [j50]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: 102680 (2021) - [j49]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): 698 (2021) - [j48]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): 4409-4418 (2021) - [j47]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): 775-785 (2021) - [j46]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): 719-735 (2021) - [j45]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: e429 (2021) - [j44]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): 1882-1893 (2021) - [j43]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): 3471-3481 (2021) - [c43]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: 1-4 - [c42]Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes:
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. EMBC 2021: 182-185 - [c41]Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, Michal Javorka, Alessandro Busacca, Luca Faes:
Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability *. EMBC 2021: 290-293 - [c40]Gorana Mijatovic, Yuri Antonacci, Luca Faes:
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. EMBC 2021: 341-344 - [c39]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: 748-751 - 2020
- [j42]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: 3505306:1-3505306:11 (2020) - [j41]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): 315 (2020) - [j40]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): 732 (2020) - [j39]Tomas Scagliarini, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, Rosario N. Mantegna:
Synergistic Information Transfer in the Global System of Financial Markets. Entropy 22(9): 1000 (2020) - [j38]Paolo Castiglioni, Luca Faes, Gaetano Valenza:
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. Entropy 22(9): 1005 (2020) - [c38]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: 1-4 - [c37]Yuri Antonacci, Luca Faes, Laura Astolfi:
Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. EMBC 2020: 26-29 - [c36]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: 2573-2576 - [c35]Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Luca Faes:
Information - theoretic characterization of concurrent activity of neural spike trains. EUSIPCO 2020: 925-929 - [c34]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: 930-934 - [c33]Yuri Antonacci, Laura Astolfi, Luca Faes:
Testing different methodologies for Granger causality estimation: A simulation study. EUSIPCO 2020: 940-944
2010 – 2019
- 2019
- [j37]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: 174793-174821 (2019) - [j36]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): 275 (2019) - [j35]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): 526 (2019) - [j34]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): 1247-1263 (2019) - [j33]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) - [c32]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: 1-4 - [c31]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: 2003-2006 - [c30]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: 4258-4261 - [c29]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: 4934-4937 - [c28]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: 5568-5571 - [c27]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: 6176-6179 - [c26]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: 1-5 - 2018
- [j32]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: 48-57 (2018) - [j31]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): 1077-1085 (2018) - [c25]Luca Faes, Vlasta Bari, Marco Ranucci, Alberto Porta:
Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia. EMBC 2018: 4607-4610 - [c24]Matteo Zanetti, Luca Faes, Mariolino De Cecco, Alberto Fornaser, Martina Valente, Giovanni Maria Achille Guandalini, Giandomenico Nollo:
Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices. ForItAAL 2018: 243-256 - 2017
- [j30]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: 1768264:1-1768264:13 (2017) - [j29]Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka:
Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks. Entropy 19(1): 5 (2017) - [j28]Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia:
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. Entropy 19(8): 408 (2017) - [j27]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): 179-190 (2017) - [j26]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): 1157-1168 (2017) - [j25]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): 1287-1296 (2017) - [j24]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): 2628-2638 (2017) - [c23]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 - [c22]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: 1559-1562 - [c21]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: 1563-1566 - [c20]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: 3481-3484 - [c19]Sebastiano Stramaglia, Iege Bassez, Luca Faes, Daniele Marinazzo:
Multiscale Granger causality analysis by à trous wavelet transform. IWASI 2017: 25-28 - 2016
- [j23]Alberto Porta, Luca Faes:
Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience. Proc. IEEE 104(2): 282-309 (2016) - [j22]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): 2488-2496 (2016) - [j21]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): 2518-2524 (2016) - [c18]Carolina Varon, Luca Faes, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
Information Transfer Between Respiration and Heart Rate During Sleep Apnea. CinC 2016 - [c17]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: 2772-2775 - [c16]Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo:
Multiscale analysis of information dynamics for linear multivariate processes. EMBC 2016: 5489-5492 - [i1]Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo:
Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR abs/1602.06155 (2016) - 2015
- [j20]Luca Faes, Alberto Porta, Giandomenico Nollo:
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. Entropy 17(1): 277-303 (2015) - [j19]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: 159-171 (2015) - [c15]Luca Faes, Daniele Marinazzo, Giandomenico Nollo:
Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep. CinC 2015: 625-628 - [c14]Luca Faes, Alberto Porta, Giandomenico Nollo:
Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability. EMBC 2015: 1789-1792 - [c13]Dorota Wejer, Luca Faes, Danuta Makowiec:
Causal relationships in the variability of cardiovascular system evoked by orthostatic stress by transfer entropy. EMBC 2015: 3799-3802 - [c12]Luca Faes, Alberto Porta, Giandomenico Nollo:
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability. EMBC 2015: 4033-4036 - [c11]Gaetano Valenza, Luca Faes, Luca Citi, Michele Orini, Riccardo Barbieri:
Instantaneous transfer entropy for the study of cardio-respiratory dynamics. EMBC 2015: 7885-7888 - 2014
- [j18]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): 2556-2568 (2014) - [c10]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: 609-612 - [c9]Carolina Varon, Katrien Jansen, Lieven Lagae, Luca Faes, Sabine Van Huffel:
Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures. CinC 2014: 917-920 - [c8]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: 6020-6023 - [c7]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: 6353-6356 - 2013
- [j17]Luca Faes, Giandomenico Nollo:
Measuring frequency domain granger causality for multiple blocks of interacting time series. Biol. Cybern. 107(2): 217-232 (2013) - [j16]Luca Faes, Giandomenico Nollo, Alberto Porta:
Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series. Entropy 15(1): 198-219 (2013) - [c6]Luca Faes, Alessandro Montalto, Giandomenico Nollo, Daniele Marinazzo:
Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability. CinC 2013: 113-116 - [c5]Alessandro Montalto, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, Luca Faes:
Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability. CinC 2013: 747-750 - [c4]Luca Faes, Giandomenico Nollo:
Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability. EMBC 2013: 5049-5052 - 2012
- [j15]Silvia Erla, Luca Faes, Giandomenico Nollo, Carola Arfeller, Christoph Braun, Christos L. Papadelis:
Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks. Biomed. Signal Process. Control. 7(3): 221-227 (2012) - [j14]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): 290-297 (2012) - [j13]Luca Faes, Silvia Erla, Giandomenico Nollo:
Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis. Comput. Math. Methods Medicine 2012: 140513:1-140513:18 (2012) - [j12]Luca Faes, Ralph G. Andrzejak, Mingzhou Ding, Dimitris Kugiumtzis:
Methodological Advances in Brain Connectivity. Comput. Math. Methods Medicine 2012: 492902:1-492902:2 (2012) - [j11]Ulrike Richter, Luca Faes, Flavia Ravelli, Leif Sörnmo:
Propagation Pattern Analysis During Atrial Fibrillation Based on Sparse Modeling. IEEE Trans. Biomed. Eng. 59(5): 1319-1328 (2012) - [c3]Luca Faes, Silvia Erla, Giandomenico Nollo:
Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series. EMBC 2012: 3672-3675 - 2011
- [c2]Ulrike Richter, Luca Faes, Flavia Ravelli, Leif Sörnmo:
Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO. EMBC 2011: 5535-5538 - [c1]Luca Faes, Giandomenico Nollo:
Assessing directional interactions among multiple physiological time series: The role of instantaneous causality. EMBC 2011: 5919-5922 - 2010
- [j10]Luca Faes, Giandomenico Nollo:
Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions. Biol. Cybern. 103(5): 387-400 (2010) - [j9]Luca Faes, Alberto Porta, Giandomenico Nollo:
Testing Frequency-Domain Causality in Multivariate Time Series. IEEE Trans. Biomed. Eng. 57(8): 1897-1906 (2010)
2000 – 2009
- 2009
- [j8]Luca Faes, Ki H. Chon, Giandomenico Nollo:
A Method for the Time-Varying Nonlinear Prediction of Complex Nonstationary Biomedical Signals. IEEE Trans. Biomed. Eng. 56(2): 205-209 (2009) - [j7]Luca Faes, He Zhao, Ki H. Chon, Giandomenico Nollo:
Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability. IEEE Trans. Biomed. Eng. 56(3): 685-695 (2009) - 2008
- [j6]Giandomenico Nollo, Mattia Marconcini, Luca Faes, Francesca Bovolo, Flavia Ravelli, Lorenzo Bruzzone:
An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Eng. 55(9): 2275-2285 (2008) - 2006
- [j5]Luca Faes, Giandomenico Nollo:
Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability. Medical Biol. Eng. Comput. 44(5): 383-392 (2006) - [j4]Luca Faes, Lamberto Widesott, Maurizio Del Greco, Renzo Antolini, Giandomenico Nollo:
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. 53(1): 65-73 (2006) - 2004
- [j3]Luca Faes, Alberto Porta, R. Cucino, Sergio Cerutti, Renzo Antolini, Giandomenico Nollo:
Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals. Biol. Cybern. 90(6): 390-399 (2004) - [j2]Luca Faes, Gian Domenico Pinna, Alberto Porta, Roberto Maestri, Giandomenico Nollo:
Surrogate data analysis for assessing the significance of the coherence function. IEEE Trans. Biomed. Eng. 51(7): 1156-1166 (2004) - 2002
- [j1]Luca Faes, Giandomenico Nollo, Renzo Antolini, Fiorenzo Gaita, Flavia Ravelli:
A method for quantifying atrial fibrillation organization based on wave-morphology similarity. IEEE Trans. Biomed. Eng. 49(12): 1504-1513 (2002)
Coauthor Index
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