| Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin Bioengineering 10 (3), 372, 2023 | 28 | 2023 |
| A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, ... IEEE Transactions on Signal Processing 70, 5766-5777, 2022 | 20 | 2022 |
| Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls R Pernice, L Sparacino, V Bari, F Gelpi, B Cairo, G Mijatovic, Y Antonacci, ... Autonomic Neuroscience 242, 103021, 2022 | 10 | 2022 |
| Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction R Pernice, L Sparacino, G Nollo, S Stivala, A Busacca, L Faes Biomedical Signal Processing and Control 68, 102680, 2021 | 9 | 2021 |
| A framework for the time-and frequency-domain assessment of high-order interactions in brain and physiological networks L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, ... arXiv preprint arXiv:2202.04179, 2022 | 7 | 2022 |
| Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions C Barà, L Sparacino, R Pernice, Y Antonacci, A Porta, D Kugiumtzis, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (3), 2023 | 5 | 2023 |
| Gradients of O-information highlight synergy and redundancy in physiological applications T Scagliarini, L Sparacino, L Faes, D Marinazzo, S Stramaglia Frontiers in Network Physiology 3, 1335808, 2024 | 2 | 2024 |
| Rehabilitation modulates high-order interactions among large-scale brain networks in subacute stroke I Pirovano, Y Antonacci, A Mastropietro, C Barà, L Sparacino, E Guanziroli, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 4549-4560, 2023 | 2 | 2023 |
| Statistical approaches to identify pairwise and high-order brain functional connectivity signatures on a single-subject basis L Sparacino, L Faes, G Mijatović, G Parla, V Lo Re, R Miraglia, ... Life 13 (10), 2075, 2023 | 2 | 2023 |
| Quantifying high-order interactions in complex physiological networks: A frequency-specific approach L Sparacino, Y Antonacci, D Marinazzo, S Stramaglia, L Faes International Conference on Complex Networks and Their Applications, 301-309, 2022 | 2 | 2022 |
| Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Linear Parametric Analysis R Pernice, L Sparacino, C Barà, Y Antonacci, L Faes 2022 12th Conference of the European Study Group on Cardiovascular …, 2022 | 2 | 2022 |
| A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography G Volpes, L Sparacino, S Valenti, A Parisi, A Busacca, L Faes, R Pernice 2022 IEEE International Symposium on Medical Measurements and Applications …, 2022 | 2 | 2022 |
| Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress C Barà, R Pernice, L Sparacino, Y Antonacci, M Javorka, L Faes 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 926-931, 2022 | 2 | 2022 |
| Causal and Non-Causal Frequency Domain Assessment of Spontaneous Baroreflex Sensitivity after Myocardial Infarction L Sparacino, R Pernice, G Nollo, L Faes 2020 11th Conference of the European Study Group on Cardiovascular …, 2020 | 2 | 2020 |
| A method to assess Granger causality, isolation and autonomy in the time and frequency domains: theory and application to cerebrovascular variability L Sparacino, Y Antonacci, C Barà, A Valenti, A Porta, L Faes IEEE Transactions on Biomedical Engineering, 2023 | 1 | 2023 |
| Quantifying high-order interactions in cardiovascular and cerebrovascular networks L Faes, G Mijatovic, L Sparacino, R Pernice, Y Antonacci, A Porta, ... 2022 12th Conference of the European Study Group on Cardiovascular …, 2022 | 1 | 2022 |
| A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance L Sparacino, Y Antonacci, C Barà, D Švec, M Javorka, L Faes Frontiers in Network Physiology 4, 1346424, 2024 | | 2024 |
| Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks L Sparacino, Y Antonacci, G Mijatovic, L Faes arXiv preprint arXiv:2401.11327, 2024 | | 2024 |
| Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures G Mijatovic, L Sparacino, Y Antonacci, M Javorka, D Marinazzo, ... arXiv preprint arXiv:2401.05556, 2024 | | 2024 |
| Measuring the Balance Between Synergy and Redundancy in Network Systems by Using Information Theory Y Antonacci, G Mijatovic, L Sparacino, S Valenti, G Sparacia, D Marinazzo, ... Mediterranean Conference on Medical and Biological Engineering and Computing …, 2023 | | 2023 |
Luca FaesProfessor of Biomedical Engineering, Department of Engineering, University of PalermoEmail verificata su unipa.it
