Publications by authors named "Luca Faes"

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors in Physiological Networks.
Luca Faes, Gorana Mijatovic, Laura Sparacino, Alberto Porta

IEEE Trans Biomed Eng· December 2025

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Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measures.
Roberta Saputo, Riccardo Pernice, Laura Sparacino, Vlasta Bari, Francesca Gelpi, Luca Faes

Med Biol Eng Comput· December 2025

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A method for the time-frequency analysis of high-order interactions in non-stationary physiological networks.
Yuri Antonacci, Chiara Bará, Laura Sparacino, Gorana Mijatovic, Ludovico Minati, Luca Faes

J Neural Eng· November 2025

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Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II.
Paolo Castiglioni, Luca Faes, Gaetano Valenza, Andrea Faini

Entropy (Basel)· November 2025

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Partial Information Rate Decomposition.
Luca Faes, Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci

Phys Rev Lett· October 2025

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Decomposing multivariate information rates in networks of random processes.
Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo, Luca Faes

Phys Rev E· October 2025

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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

Comput Biol Med· September 2025

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Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessment.
Tijana Bojić, Luca Faes, Steffen Schulz, Tomislav Stankovski

Front Comput Neurosci· September 2025

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A Model-Free Method to Quantify Memory Utilization in Neural Point Processes.
Gorana Mijatovic, Sebastiano Stramaglia, Luca Faes

IEEE Trans Biomed Eng· August 2025

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Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies.
Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes, Fernando E Rosas, Daniele Marinazzo

Entropy (Basel)· August 2025

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Early impairment of two arms of the baroreflex response in young normotensive patients with obesity.
Jana Cernanova Krohova, Barbora Czippelova, Zuzana Turianikova, Miriam Kuricova, Jana Tuzakova, Luca Faes

Physiol Meas· July 2025

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State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure.
Beatrice Cairo, Riccardo Pernice, Nikola N Radovanović, Luca Faes, Alberto Porta

Entropy (Basel)· July 2025

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Partial information decomposition for discrete target and continuous source random variables.
Chiara Barà, Yuri Antonacci, Marta Iovino, Ivan Lazic, Luca Faes

Phys Rev E· July 2025

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Investigating The Effect Of Systolic And Diastolic Arterial Pressures On Mean Pressure Through Partial Information Decomposition.
Laura Sparacino, Riccardo Pernice, Chiara Bara, Roberta Saputo, Michal Javorka, Luca Faes

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Investigating High-Order Interactions among Physiological Variables using Predictability and Information-Theoretic Measures.
Chiara Bara, Yuri Antonacci, Laura Sparacino, Sebastiano Stramaglia, Luca Faes

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device.
Irene Franzone, Yuri Antonacci, Fabrizio Giuliano, Riccardo Pernice, Alessandro Busacca, Luca Faes

Entropy (Basel)· June 2025

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Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network.
Yuri Antonacci, Chiara Bara, Laura Sparacino, Ileana Pirovano, Alfonso Mastropietro, Luca Faes

IEEE Trans Biomed Eng· May 2025

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Measures and Models of Brain-Heart Interactions.
Diego Candia-Rivera, Luca Faes, Fabrizio De Vico Fallani, Mario Chavez

IEEE Rev Biomed Eng· May 2025

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Assessing high-order effects in feature importance via predictability decomposition.
Marlis Ontivero-Ortega, Luca Faes, Jesus M Cortes, Daniele Marinazzo, Sebastiano Stramaglia

Phys Rev E· March 2025

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Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices.
Marta Iovino, Ivan Lazic, Tatjana Loncar-Turukalo, Michal Javorka, Riccardo Pernice, Luca Faes

Physiol Meas· November 2024

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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, Luca Faes

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Testing dynamic correlations and nonlinearity in bivariate time series through information measures and surrogate data analysis.
Helder Pinto, Ivan Lazic, Yuri Antonacci, Riccardo Pernice, Danlei Gu, Luca Faes

Front Netw Physiol· May 2024

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A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance.
Laura Sparacino, Yuri Antonacci, Chiara Barà, Dávid Švec, Michal Javorka, Luca Faes

Front Netw Physiol· April 2024

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Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements.
Gabriele Volpes, Simone Valenti, Giuseppe Genova, Chiara Barà, Antonino Parisi, Luca Faes

Biosensors (Basel)· April 2024

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Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures.
Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Michal Javorka, Daniele Marinazzo, Luca Faes

IEEE Open J Eng Med Biol· March 2024

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