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YURI ANTONACCI

Curriculum e ricerca

Insegnamenti

Anno accademico Codice della materia Nome della materia CFU Corso di studi
2024/2025 09195 BIOINGEGNERIA ELETTRONICA (MODULO) 2 TECNICHE DI NEUROFISIOPATOLOGIA (ABILITANTE ALLA PROFESSIONE SANITARIA DI TECNICO DI NEUROFISIOPATOLOGIA)
2024/2025 19354 ELABORAZIONE DI DATI E SEGNALI BIOMEDICI 9 INGEGNERIA BIOMEDICA

Pubblicazioni

Data Titolo Tipologia Scheda
2024 Assessment of complexity and dynamical coupling between complex systems using Entropy Rate and Mutual Information Rate Measures: simulations and application to physiological data Abstract in atti di convegno pubblicato in volume Vai
2024 Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques Articolo in rivista Vai
2024 Comparison of Linear Model-Based and Nonlinear Model-Free Directional Coupling Measures: Analysis of Cardiovascular and Cardiorespiratory Interactions at Rest and During Physiological Stress Capitolo o Saggio Vai
2024 A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability Articolo in rivista Vai
2024 Testing dynamic correlations and nonlinearity in bivariate time series through information measures and surrogate data analysis Articolo in rivista Vai
2024 Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-Based Approach for the Temporal and Spatial Characterization of the Brain Dynamics Capitolo o Saggio Vai
2024 Comparison of the symptom networks of long‐COVID and chronic fatigue syndrome: From modularity to connectionism Articolo in rivista Vai
2024 Autonomic Stress in Plateau Waves of Intracranial Pressure: Spectral Mutual Information Rate Analysis Contributo in atti di convegno pubblicato in volume Vai
2024 Assessment of EEG Brain Dynamics in Time and Frequency Domains through Information-Theoretic Measures Contributo in atti di convegno pubblicato in volume Vai
2024 Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures Articolo in rivista Vai
2024 A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance Articolo in rivista Vai
2024 Measuring the Balance Between Synergy and Redundancy in Network Systems by Using Information Theory Capitolo o Saggio Vai
2023 Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions Contributo in atti di convegno pubblicato in volume Vai
2023 Gradients of O-information: Low-order descriptors of high-order dependencies Articolo in rivista Vai
2023 Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends Articolo in rivista Vai
2023 Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses Articolo in rivista Vai
2023 Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions Articolo in rivista Vai
2023 Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network Articolo in rivista Vai
2023 Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactions Articolo in rivista Vai
2023 Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke Articolo in rivista Vai
2023 Mutual Information Rate Decomposition as a Tool to Investigate Coupled Dynamical Systems: Estimation Approaches, Simulations and Application to Physiological Signals Abstract in atti di convegno pubblicato in volume Vai
2022 A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes Articolo in rivista Vai
2022 Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation Articolo in rivista Vai
2022 Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls Articolo in rivista Vai
2022 Measuring the Amount of Concomitant Firing during Neural Development Contributo in atti di convegno pubblicato in volume Vai
2022 Investigating the Heartbeat-evoked cortical responses through parametric Time-Varying Information Measures Contributo in atti di convegno pubblicato in volume Vai
2022 Quantifying High-Order Interactions in Cardiovascular and Cerebrovascular Networks Contributo in atti di convegno pubblicato in volume Vai
2022 Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Linear Parametric Analysis Contributo in atti di convegno pubblicato in volume Vai
2022 Frequency Domain Information Decomposition: Application to Plateau Waves of Intracranial Pressure Contributo in atti di convegno pubblicato in volume Vai
2022 Measuring the Rate of Information Exchange in Point-Process Data With Application to Cardiovascular Variability Articolo in rivista Vai
2022 Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress Contributo in atti di convegno pubblicato in volume Vai
2021 Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma Articolo in rivista Vai
2021 Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations Articolo in rivista Vai
2021 An Information-Theoretic Framework to Measure the Dynamic Interaction between Neural Spike Trains Articolo in rivista Vai
2021 A questionnaire to measure the extra-pulmonary symptoms of asthma Abstract in atti di convegno pubblicato in rivista Vai
2021 A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes Contributo in atti di convegno pubblicato in volume Vai
2021 Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions Contributo in atti di convegno pubblicato in volume Vai
2021 Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators Articolo in rivista Vai
2021 Measuring High-Order Interactions in Rhythmic Processes through Multivariate Spectral Information Decomposition Articolo in rivista Vai
2021 Multivariate Correlation Measures Reveal Structure and Strength of Brain–Body Physiological Networks at Rest and During Mental Stress Articolo in rivista Vai
2021 Local Granger causality Articolo in rivista Vai
2021 Testing different methodologies for Granger causality estimation: A simulation study Contributo in atti di convegno pubblicato in volume Vai
2020 Model-Based Transfer Entropy Analysis of Brain-Body Interactions with Penalized regression techniques Contributo in atti di convegno pubblicato in volume Vai
2020 Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks Articolo in rivista Vai
2020 Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models Contributo in atti di convegno pubblicato in volume Vai
2019 Estimation of brain connectivity through Artificial Neural Networks Abstract in atti di convegno pubblicato in volume Vai
2019 Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator Abstract in atti di convegno pubblicato in volume Vai
2017 Estimating brain connectivity when few data points are available: Perspectives and limitations Abstract in atti di convegno pubblicato in volume Vai
2016 Measuring the agreement between brain connectivity networks Abstract in atti di convegno pubblicato in volume Vai