Publications

Journal Papers

Submitted - preprints

• L. Sparacino, Y. Antonacci, G. Mijatovic, L. Faes, 'Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks', 2024; arXiv preprint arXiv:2401.11327

• C Barà, Y Antonacci, M Iovino, I Lazic, L Faes, 'Partial information decomposition for mixed discrete and continuous random variables', 2024; arXiv preprint: arXiv.2409.13506

• D. Candia Rivera, L. Faes, F. De Vico Fallani, M. Chavez, 'Measures and models of brain-heart interaction', 2024; arXiv preprint: arXiv.2409.15835

• G Mijatovic, S Stramaglia, L Faes, 'A model-free method to quantify memory utilization in neural point processes', 2024; arXiv preprint: arXiv.2409.15875

• G Mijatovic, Y Antonacci, M Javorka, D Marinazzo, S Stramaglia, L Faes, 'Network representation of higher-order interactions based on information dynamics', 2024; arXiv preprint: arXiv.2409.15617

• Y Antonacci, C Barà, G De Felice, A Sferlazza, R Pernice, L Faes, 'Exploring transient neurophysiological states through local and time-varying measures of information dynamics', 2024; biorXiv preprint: 10.1101/2024.06.19.599743

• M Ontivero-Ortega, L Faes, JM Cortes, D Marinazzo, 'Assessing high-order effects in feature importance via predictability decomposition' , submitted (Physical Review Letters), 2024; arXiv preprint: arXiv.2412.09964

Accepted - in press

• Y Antonacci, C Barà, L Sparacino, I Pirovano, A Mastropietro, G Rizzo, L Faes, 'Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain’s Motor Network', IEEE Transactions on Biomedical Engineering (Q1), 2024; TechRxiv preprint: 10.36227/techrxiv.173030507.70653655/v1

Published - 2024

• M Iovino, I Lazic, T Loncar-Turukalo, M Javorka, R Pernice, L Faes, 'Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices', Physiological Measurement (Q2), 2024; 45:115004. DOI: 10.1088/1361-6579/ad9234

• L Minati, L Sparacino, L Faes, H Ito, C Li, PA Valdes Sosa, M Frasca, S Boccaletti, 'Chaotic dynamics and synchronization under tripartite couplings: analyses and experiments using single-transistor oscillators as metaphors of neural dynamics', accepted, Chaos, Solitons and Fractals (Q1), 2024; 189:115567. DOI: 10.1016/j.chaos.2024.115567

• H. Pinto, I. Lazic, Y. Antonacci, R. Pernice, D. Gu, C. Barà, L. Faes, A.P. Rocha, "Testing Dynamic Correlations and Nonlinearity in Bivariate Time Series through Information Measures and Surrogate Data Analysis", Frontiers in Network Physiology, 2024, 4, 1385421. DOI: 10.3389/fnetp.2024.1385421

• C. Barà, R. Pernice, C.A. Catania, M. Hilal, A. Porta, A. Humeau-Heurtier, L. Faes, "Comparison of entropy rate measures for the evaluation of time series complexity: Simulations and application to heart rate and respiratory variability", Biocybernetics and Biomedical Engineering (Q1), 2024, 44(2), 380-392. DOI:10.1016/j.bbe.2024.04.004

• G. Volpes, S. Valenti, G. Genova, C. Barà, A. Parisi, L. Faes, A. Busacca, R. Pernice, "Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements", Biosensors (Q1), 2024, 14:205. DOI: 10.3390/bios14040205 

• L. Sparacino, Y. Antonacci, C. Barà, D. Švec, M. Javorka, L. Faes, "A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance", Frontiers in Network Physiology, 2024, 4, 1346424. DOI: 10.3389/fnetp.2024.1346424 

• S. Stramaglia, L. Faes, J.M. Cortes, D. Marinazzo, 'Disentangling high order effects in the transfer entropy', Physical Review Research (Q1), 2024; 6:L032007. DOI: 10.1103/PhysRevResearch.6.L032007; arXiv preprint arXiv:2402.032

• G. Mijatovic, L Sparacino, Y Antonacci, M Javorka, D Marinazzo, S Stramaglia, L Faes, 'Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures', IEEE Open Journal of Engineering in Medicine and Biology (Q1), 2024; DOI: 10.1109/OJEMB.2024.3374956; arXiv preprint arXiv:2401.05556.

• Y. Antonacci, J. Toppi, A. Anzolin, A. Pietrabissa, L. Astolfi, 'Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques', IEEE Access (Q1), 2024. DOI: 10.1109/ACCESS.2024.3368637

• T Scagliarini, L Sparacino, L Faes, D Marinazzo, S Stramaglia, 'Gradients of O-information highlight synergistic informational circuits in physiological applications', Frontiers in Network Physiology, 2024; 3:1335808. DOI: 10.3389/fnetp.2023.1335808

• L Sparacino, Y Antonacci, C Barà, A Valenti, A Porta, L Faes, 'A method to assess Granger causality, isolation and autonomy in the time and frequency domains: theory and application to cerebrovascular variability', IEEE Transactions on Biomedical Engineering (Q1), 2024; 71(5):1454-1465. DOI: 10.1109/TBME.2023.3340011

2023

• I Pirovano, Y Antonacci, A Mastropietro, C Barà, L Sparacino, E Guanziroli, F Molteni, M Tettamanti, L Faes, G Rizzo, 'Rehabilitation modulates high-order interactions among large-scale brain networks in subacute stroke', IEEE Transactions on Neural Systems and Rehabilitation Engineering (Q1), 2023; 31: 4549-4560. DOI: 10.1109/TNSRE.2023.3332114

• L Sparacino, L Faes, G Mijatovic, G Parla, V Lo Re, R Miraglia, J de Ville, G Sparacia, 'Statistical approaches to identify pairwise and high-order brain functional connectivity signatures on a single-subject basis', Life (Q2), 2023; 13,2075. DOI: 10.3390/life13102075

• Y Antonacci, C Barà, A Zaccaro, F Ferri, R Pernice, L Faes 'Time-Varying Information Measures: An Adaptive Estimation of Information Storage with Application to Brain-Heart Interactions', Frontiers in Network Physiology, 2023; 3, 1242505. DOI: 10.3389/fnetp.2023.1242505

• C Barà, A Zaccaro, Y Antonacci, M Dalla Riva, A Busacca, F Ferri, L Faes, R Pernice, 'Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses', Biomedical Signal Processing and Control (Q1), 2023; 86,105315. DOI: 10.1016/j.bspc.2023.105315

• A Porta, F Gelpi, V Bari, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, 'Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope', Medical and Biological Engineering and Computing (Q2), 2023, DOI: 10.1007/s11517-023-02885-0

• M Platisa, NN Radovanovic, R Pernice, C Barà, SU Pavlovic, L Faes, 'Information-theoretic analysis of cardio-respiratory interactions in heart failure patients: effects of arrhythmias and cardiac resynchronization therapy', Entropy (Q2), 2023, 25:1072. DOI: 10.3390/e25071072

• M Paoli, Y Antonacci, A Albi, L Faes, A Haase, 'Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network', Insects (Q1), 2023, 14(6): 539. DOI: 10.3390/insects14060539

• F Scardulla, G Cosoli, S Spinsante, A Poli, G Iadarola, R Pernice, A Busacca, S Pasta, L Scalise, L D'Acquisto, "Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review", Measurement (Q1), 2023: 218, DOI: 10.1016/j.measurement.2023.113150

• S Valenti, G Volpes, A Parisi, D Peri, J Lee, L Faes, A Busacca, R Pernice, 'Wearable multisensor ring-shaped probe assessing stress and blood oxygenation: design and preliminary measurements', Biosensors (Q1), 2023, 13:460. DOI: 10.3390/bios13040460

• A Porta, V Bari, F Gelpi, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, 'On the different ability of cross-sample entropy and k-nearest-neighbor cross-predictability in assessing cardiorespiratory and cerebrovascular dynamic interactions', Entropy (Q2), 2023; 25:299. DOI: 10.3390/e25040599

• G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin, 'Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends', Bioengineering (Q2), 2023, 10:372; DOI: 10.3390/bioengineering10030372

• J Cernanova Krohova, B Czippelova, Z Turianikova, R Pernice, A Busacca, L Faes, M Javorka, 'Input for baroreflex analysis: which blood pressure signal should be used?', J. Physiol. Pharmacol. (Q2), 2023; 73(5):587-595. DOI: 10.26402/jpp.2022.5.02

• C Barà, L Sparacino, R Pernice, Y Antonacci, A Porta, D Kugiumtzis, L Faes, 'Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions', Chaos (Q1), 2023; 33:033127. DOI: 10.1063/5.0140641

• G Volpes, S Valenti, H Zafar, R Pernice, GM Stojanovic, "Feasibility of conductive embroidered threads for I2C sensors in microcontroller-based wearable electronics", Flex. Print. Electron. (Q2), 2023; 8: 015016, doi: 10.1088/2058-8585/acbbdc

• T Scagliarini, D Nuzzi, Y Antonacci, L Faes, FE Rosas, D Marinazzo, S Stramaglia, 'Gradients of O-information: low-order descriptors of high-order dependencies', Physical Review Research (Q1), 2023; 5:013025; DOI: 10.1103/PhysRevResearch.5.013025

2022

• G Volpes, C Barà, A Busacca, S Stivala, M Javorka, L Faes, R 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 (Q1), 2022, 22:9149; DOI: 10.3390/s22239149

• L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, M Sammartino, A Porta, D Marinazzo, S Stramaglia, 'A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes', IEEE Transactions on Signal Processing (Q1), 2022; 70: 5766-5777; DOI: 10.1109/TSP.2022.3221892

• H Lee, H Chung, H Ko, R Pernice, A Parisi, A Busacca, L Faes, J Lee, 'Adaptive scheduling of acceleration and gyroscope for motion artifact cancellation in photoplethysmography', Computer Methods and Programs in Biomedicine (Q1), 2022; 226:107126; DOI: 10.1016/j.cmpb.2022.107126 

• R Pernice, L Sparacino, V Bari, F Gelpi, B Cairo, G Mijatovic, Y Antonacci, D Tonon, G Rossato, M Javorka, A Porta, L Faes, 'Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls', Autonomic Neuroscience: Basic and Clinical (Q2), 2022; 242:103021; DOI: 10.1016/j.autneu.2022.103021

• H Pinto, R Pernice, ME Silva, M Javorka, L Faes, AP Rocha, 'Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular control', Physiological Measurement (Q2), 2022; 43:085004; DOI: 10.1088/1361-6579/ac826c

• R Pernice, L Faes, M Feucht, F Benninger, S Mangione, K Schiecke, 'Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsy', Journal of Neural Engineering (Q1), 2022; 19:045002; DOI: 10.1088/1741-2552/ac7fba

• V Bari, L Barbarossa, F Gelpi, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, M Ranucci, R Barbieri, A Porta, ' Exploring metrics for the characterization of the cerebral autoregulation during head-up tilt and propofol general anesthesia', Autonomic Neuroscience: Basic and Clinical (Q2), 2022; 242:103011; DOI: 10.1016/j.autneu.2022.103011

• G Mijatovic, D Kljajic, K Kasas-Lazetic, M Milutinov, S Stivala, A Busacca, AC Cino, S Stramaglia, L Faes, 'Information dynamics of electric field intensity before and during the COVID-19 pandemic', Entropy (Q2), 2022, Special Issue "Back to the origin: addressing physical phenomena with information-theoretic tools"; 24(5), 726; DOI: 10.3390/e24050726

• I Pirovano, A Mastropietro, Y Antonacci, C Barà, E Guanziroli, F Molteni, L Faes, G Rizzo, 'Resting state EEG directed functional connectivity unveils changes in motor network organization in subacute stroke patients after rehabilitation', Frontiers in Physiology (Q1), 2022; 13:862207; DOI: 10.3389/fphys.2022.862207 

• A Porta, F Gelpi, V Bari, B Cairo, B De Maria, D Tonon, G Rossato, M Ranucci, L Faes, 'Categorizing the role of respiration in cardiovascular and cerebrovascular variability interactions', IEEE Transactions on Biomedical Engineering (Q1), 2022; 69(6):2065-2076; DOI: 10.1109/TBME.2021.3135313 

• G Mijatovic, R Pernice, A Perinelli, Y Antonacci, M Javorka, L Ricci, L Faes, 'Measuring the rate of information exchange in point-process data with application to cardiovascular variability', Frontiers in Network Physiology, 2022, 1:765332; DOI: 10.3389/fnetp.2021.765332

• F Gelpi, V Bari, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, A Porta, 'Dynamic cerebrovascular autoregulation in patients prone to postural syncope: comparison of techniques assessing the autoregulation index from spontaneous variability series', Autonomic Neuroscience: Basic and Clinical (Q2), 2022; 237: 102920; DOI: 10.1016/j.autneu.2021.102920

2021

• A Ghouse, L Faes, G Valenza, 'Inferring causal strength and leading drivers of bidirectionally coupled dynamical systems using Gaussian processes priors', Physical Review E (Q2), 2021; 104:064208; DOI: 10.1103/PhysRevE.104.064208

• Y Antonacci, L Minati, D Nuzzi, G Mijatovic, R Pernice, D Marinazzo, S Stramaglia, L Faes, 'Measuring high-order Interactions in rhythmic processes: a framework for the spectral information decomposition of multivariate time series', IEEE Access (Q1), 2021; 9:1-9. DOI: 10.1109/ACCESS.2021.3124601

• G Valenza, L Faes, N Toschi, R Barbieri, 'Advanced computation in cardiovascular physiology: new challenges and opportunities', Philosophical Transactions of the Royal Society A (Q1), 2021, Special Issue Editorial; 379:20200265. DOI: 0.1098/rsta.2020.0265 

• I Lazic, R. Pernice, T. Loncar-Turukalo, G. Mijatovic, L. Faes, 'Assessment of cardiorespiratory interactions during apneic events in sleep via fuzzy kernel measures of information dynamics', Entropy (Q2), 2021; 23:698. DOI: 10.3390/e23060698

• R Pernice, L Sparacino, G Nollo, S Stivala, A Busacca, L Faes, 'Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after acute myocardial infarction', Biomedical Signal Processing and Control (Q1), 2021; 68:102680. DOI: 10.1016/j.bspc.2021.102680

• D Nuzzi, S Stramaglia, M Javorka, D Marinazzo, A Porta, L Faes, 'Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variability', Philosophical Transactions of the Royal Society A (Q1), 2021, Special Issue "Advanced Computation in Cardiovascular Physiology: New Challenges and Opportunities"; 379:20200263. DOI: 10.1098/rsta.2020.0263 

• G Mijatovic, Y Antonacci, T Loncar-Turukalo, L Minati and L Faes, 'An information-theoretic framework to measure the dynamic interaction between neural spike trains', IEEE Transactions on Biomedical Engineering (Q1), 2021, 68(12): 3471-3481; DOI: 10.1109/TBME.2021.3073833

• Y Antonacci, L Minati, L Faes, R Pernice, G Nollo, J Toppi, A Pietrabissa, L Astolfi, 'Estimation of Granger causality through artificial neural networks: applications to physiological systems and chaotic electronic oscillators', Peer J Computer Science (Q2), 2021; 7:e429. DOI: 10.7717/peerj-cs.429

• G Mijatovic, T Loncar-Turukalo, N Bozanic, N Milosavljevic, R Storchi and L Faes, 'A measure of concurrent neural firing activity based on mutual information', Neuroinformatics (Q1), 2021; DOI: 10.1007/s12021-021-09515-w

• S Stramaglia, T Scagliarini, Y Antonacci, L Faes, 'Local Granger causality', Physical Review E Letters (Q1), 2021; 103:L020102; DOI: 10.1103/PhysRevE.103.L020102 ; arXiv preprint: 2010.13833

• S Ghiasi, A Greco, L Faes, M Javorka, R Barbieri, EP Scilingo, and G Valenza, 'Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors', Medical and Biological Engineering and Computing (Q2), 2021; 59:775-785. DOI: 10.1007/s11517-020-02311-9

• L Faes, R Pernice, G Mijatovic, Y Antonacci, J Krohova, M Javorka, A Porta, 'Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations' Philosophical Transactions of the Royal Society A (Q1), 2021, Special Issue "Advanced Computation in Cardiovascular Physiology: New Challenges and Opportunities"; 379: 20200250. DOI: 10.1098/rsta.2020.0250

• R Pernice, Y Antonacci, M Zanetti, A Busacca, D Marinazzo, L Faes, G Nollo, 'Multivariate correlation measures reveal structure and strength of brain-body physiological networks at rest and during mental stress', Frontiers in Neuroscience (Q2), 2021, Special Issue "The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems", 14:602584 (19 pages). DOI: 10.3389/fnins.2020.602584

• J Morales, J Moeyersons, P Armanac, M Orini, L Faes, S Overeem, M Van Gilst, H Van Dijk, S Van Huffel, R Bailon and C Varon 'Model-based evaluation of methods for respiratory sinus arrhythmia quantification', IEEE Transactions on Biomedical Engineering (Q1), 2021; 68(6):1882-1893. DOI: 10.1109/TBME.2020.3028204

2020

• I Kotiuchyi, R Pernice, A Popov, L Faes, V Kharytonov, 'A framework to assess the information dynamics of source EEG activity and its application to epileptic brain networks', Brain Sciences (Q3), 2020, Special Issue "Human Brain Dynamics: Latest Advances and Prospects"; 10:657; DOI: 10.3390/brainsci10090657

• P Castiglioni, L Faes, G Valenza: 'Assessing complexity in physiological systems through biomedical signals analysis', Entropy (Q2), 2020, Special Issue Editorial; 22, 1005; DOI: 10.3390/e22091005

• T Scagliarini, L Faes, D Marinazzo, S Stramaglia and RN Mantegna 'Synergistic information transfer in the global system of financial markets', Entropy (Q2), 2020; 22, 1000; DOI: 10.3390/e22091000

• M Masè, L Faes, F Ravelli, 'Letter by Masè et al Regarding Article, "Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers"', Circulation Arrhythmias and Electrophysiology (Q1), 2020, 13:e008675: 893-894. DOI: 10.1161/CIRCEP.120.008675

• Y Antonacci, L Astolfi, G Nollo, L Faes, 'Information transfer in linear multivariate processes assessed through penalized regression techniques: validation and application to physiological networks', Entropy (Q2), 2020, special issue “Assessing Complexity in Physiological Systems through Biomedical Signals Analysis”, 22(7), 732; DOI: 10.3390/e22070732

• J Krohova, L Faes, B Czippelova, R Pernice, Z Turianikova, R Wiszt, N Mazgutova, A Busacca, M Javorka, 'Vascular resistance arm of the baroreflex: methodology and comparison with the cardiac chronotropic arm', Journal of Applied Physiology (Q2), 2020, 128(5):1310-1320; DOI: 10.1152/japplphysiol.00512.2019

• M Javorka, J Krohova, , B Czippelova, Z Turianikova, N Mazgutova, R Wiszt, M Ciljakova, D Cernochova, R Pernice, A Busacca, L Faes, 'Respiratory sinus arrhythmia mechanisms in young obese subjects', Frontiers in Neuroscience (Q2), 2020, Research Topic “Cardiorespiratory Coupling-novel Insights for Integrative Biomedicine”, 14:204; DOI: 10.3389/fnins.2020.00204

2019

• R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova, AC Busacca, L Faes, 'Comparison of short term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring', Med Biol Eng Comput (Q2), 2019; 57:1247-1263, DOI: 10.1007/s11517-019-01957-4

• L Faes, MA Pereira, ME Silva, R Pernice, A Busacca, M Javorka, AP Rocha, 'Multiscale information storage of linear long-range correlated stochastic processes', Phys Rev E (Q2), 2019, 99:032115. DOI: 10.1103/PhysRevE.99.032115

• M Zanetti, L Faes, G Nollo, M De Cecco, R Pernice, L Maule, M Pertile, A Fornaser, 'Information dynamics of the brain, cardiovascular and respiratory network during different levels of mental stress', Entropy (Q2), special issue on “Information Dynamics in Brain and Physiological Networks”, 2019; 21(3): 275. DOI: 10.3390/e21030275

• R Pernice, L Faes, I Kotiuchyi, S Stivala, AC Busacca, A Popov, V Kharytonov, 'Time, frequency and information domain analysis of short-term heart rate variability before and after focal and generalized seizures in epileptic children', Phys Meas (Q2), 2019; 40(7):074003. DOI: 10.1088/1361-6579/ab16a3

• J Krohova, L Faes, B Czippelova, Z Turianikova, N Mazgutova, R Pernice, A Busacca, D Marinazzo, S Stramaglia, M Javorka, 'Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress', Entropy (Q2), special issue “Information Dynamics in Brain and Physiological Networks”, 2019, 21(3): 526. DOI: 10.3390/e21050526

• A Greco, L Faes, V Catambrone, R Barbieri, EP Scilingo, G Valenza, 'Lateralization of Directional Brain-Heart Information Transfer during Visual Emotional Elicitation', Am J Physiol Regul Integr Comp Physiol (Q2), 2019; 317: R25-R38. DOI: 10.1152/ajpregu.00151.2018

• TW Boonstra, L Faes, JN Kerkman, D Marinazzo, 'Information decomposition of multichannel EMG to map functional interactions in the distributed motor system', Neuroimage (Q1), 2019; 202:116093. DOI: 10.1016/j.neuroimage.2019.116093

• M Zanetti, T Mizumoto, L Faes, A Fornaser, M De Cecco, L Maule, M Valente, G Nollo, 'Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices', J Ambient Intelligence Humanized Comput (Q1), 2019; DOI: 10.1007/s12652-019-01571-0

• L Faes, M Gomez Extremera, R Pernice, P Carpena, G Nollo, A Porta, P Bernaola Galvàn, 'Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states', Chaos (Q1), 2019; 29:123114. DOI: 10.1063/1.5115506

• L Minati, H Ito, A Perinelli, L Ricci,  L Faes, N Yoshimura, Y Koike, M Frasca, 'Connectivity influences on non-linear dynamics in weakly-synchronized networks: insights from Roessler systems, electronic chaotic oscillators, model and biological neurons', IEEE Access (Q1), 2019, 7:174793 (29 pages). DOI: 10.1109/ACCESS.2019.2957014

2018

• M Valente, M Javorka, A Porta, V Bari, J Krohova, B Czippelova, Z Turianikova, G Nollo, L Faes, 'Univariate and multivariate conditional entropy measures for the characterization of short-term cardiovascular complexity under physiological stress', Phys Meas (Q2), 2018; 39:014002; DOI: 10.1088/1361-6579/aa9a91

• G Valenza, L Faes, L Citi, M Orini, R Barbieri, 'Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardio-Respiratory Nonlinear Dynamics', IEEE Trans Biomed Eng (Q1), 2018;65(5):1077-1085. DOI: 10.1109/TBME.2017.2740259

• M Javorka, J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszt, L Faes, 'Towards understanding the complexity of cardiovascular oscillations: insights from information theory', Comp. Biol. Med. (Q2), 2018; 98:48-57. DOI: 10.1016/j.compbiomed.2018.05.007

• L Minati, L Faes, M Frasca, P Oswiecimka, S Drozdz, 'Apparent Remote synchronization of amplitudes: an interference and demodulation effect', Chaos (Q1), 2018, 28:063124 (14 pages); DOI: 10.1063/1.5026980

• V Iacovella, L Faes, U Hasson, 'Task-induced deactivation in diverse brain systems correlates with interindividual differences in distinct autonomic indices', Neuropsychologia (Q1), 2018, 113:29-42. DOI: 10.1016/j.neuropsychologia.2018.03.005

• J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszt, M Javorka, L Faes, 'Information domain analysis of respiratory sinus arrhythmia mechanisms', Physiol Res (Q3), 2018, 67(4):S611-S618, DOI: 10.33549/physiolres.934049

Book Chapters

2023

• H Azami, L Faes, J Escudero, A Humeau-Heurtier, LEV Silva: 'Entropy analysis of univariate biomedical signals: review and comparison of methods', in Frontiers in Entropy Across the Disciplines, W Freeden and MZ Nahes (Eds), World Scientific Publishing, 2022, pp. 233-286. ISBN: 978-981-125-939-5. DOI: 10.1142/12920

2018

• M Zanetti, L Faes, M De Cecco, A Fornaser, M Valente, GMA Guandalini, G Nollo: 'Assessment of mental stress through the analysis of physiological signals acquired from wearable devices', in Lecture Notes in Electrical Engineering, Springer, 2018, vol. 544, pp 243-256. ISSN: 18761100; DOI: 10.1007/978-3-030-05921-7_20, Q3

Conference Proceedings (indexed, peer-reviewed)

2023

• Y Antonacci, G Mijatovic, LSparacino, S Valenti, G Sparacia, D Marinazzo, S Stramaglia, L Faes, "Measuring the Balance between Synergy and Redundancy in Network Systems by using Information Theory". 16th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Sarajevo, Bosnia and Herzegovina, 14-16 September, 2023.

• M Iovino, I Lazic, T Loncar-Turukalo, M. Javorka, R Pernice, L Faes, “Classification of Physiological States through Machine Learning Algorithms Applied to Ultra-Short-Term Heart Rate and Pulse Rate Variability Indices on a single-feature basis”. 16th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Sarajevo, Bosnia and Herzegovina, 14-16 September, 2023.

• VR Vergara, C Barà, R Pernice, A Zaccaro, F Ferri, L Faes, Y Antonacci, “Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-Based Approach for the Temporal and Spatial Characterization of the Brain Dynamics”. 16th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Sarajevo, Bosnia and Herzegovina, 14-16 September, 2023.

• C Barà, R Pernice, L Sparacino, Y Antonacci, M Javorka, L Faes, “Comparison of Linear Model-Based and Nonlinear Model-Free Directional Coupling Measures: Analysis of Cardiovascular and Cardiorespiratory Interactions at Rest and During Physiological Stress”. 16th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Sarajevo, Bosnia and Herzegovina, 14-16 September, 2023.

• H Pinto, Y Antonacci, R Pernice, C Barà, M Javorka, L Faes, AP Rocha, “Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions”, 2023 45th annual international conference of the IEEE engineering in medicine and biology society (EMBC), Sydney, Australia, 24-27 July 2023.

• L Faes, G Mijatovic, L Sparacino, Y Antonacci, D Marinazzo, S Stramaglia, “Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition”, 2023 45th annual international conference of the IEEE engineering in medicine and biology society (EMBC), Sydney, Australia, 24-27 July 2023.

• G Mijatovic, C Barà, R Pernice, T Loncar-Turukalo, G Nollo, L Faes, “Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures”, 2023 45th annual international conference of the IEEE engineering in medicine and biology society (EMBC), Sydney, Australia, 24-27 July 2023.

• L Sparacino, M Valentino, Y Antonacci, G Parla, G Sparacia, L Faes, “Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis”, 2023 45th annual international conference of the IEEE engineering in medicine and biology society (EMBC), Sydney, Australia, 24-27 July 2023.

• M Iovino, M Javorka, L Faes, R Pernice, "Comparison of Machine Learning Approaches for Physiological States Classification Using Heart Rate and Pulse Rate Variability Indices", Proceedings of the Eighth National Congress of Bioengineering - Gruppo Nazionale di Bioingegneria (GNB 2023), Padova, Italia, 21-23 June 2023, pp. 679-682, Collana: GNB Atti, Pàtron editore, ISSN: 2724-2129, ISBN 9788855580113.

• R Saputo, L Sparacino, R Pernice, F Gelpi, V Bari, A Porta, L Faes, "Assessment of cerebral autoregulation in patients undergoing anaesthesia with propofol: a comparison among spontaneous variability methods", Proceedings of the Eighth National Congress of Bioengineering - Gruppo Nazionale di Bioingegneria (GNB 2023), Padova, Italia, 21-23 June 2023, pp. 759-762, Collana: GNB Atti, Pàtron editore, ISSN: 2724-2129, ISBN 9788855580113. 

2022

• I Pirovano, A Mastropietro, E Guanziroli, F Molteni, L Faes, G Rizzo, 'Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients', Proc of the 44th Annual Int Conf IEEE-EMBS, 2022, vol. 49, pp. 44-47; DOI: 10.1109/EMBC48229.2022.9870885

• G Mijatovic, N Vukosavljevic, Y Antonacci, L Faes, T Loncar-Turukalo, 'Measuring the amount of concomitant firing during neural development', IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022, pp. 00331-00335. DOI: 10.1109/SISY56759.2022.10036287

• A Porta, V Bari, F Gelpi, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, 'Comparing cross-sample entropy and k-nearest-neighbor cross-predictability approaches for the evaluation of cardiorespiratory and cerebrovascular dynamical interactions', Proc of the 44th Annual Int Conf IEEE-EMBS, 2022, vol. 49; pp. 127-130 DOI: 10.1109/EMBC48229.2022.9871239

• L Faes, G Mijatovic, L Sparacino, R Pernice, Y Antonacci, A Porta, S Stramaglia, 'Quantifying high-Order interactions in cardiovascular and cerebrovascular networks', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931385

• C Barà, R Pernice, L Sparacino, S Mangione, M Javorka, L Faes, 'Transfer entropy analysis of pulse arrival time-heart period interactions during physiological stress', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931360

• G Mijatovic, C Barà, T Loncar-Turukalo, L Faes, 'A method to quantify memory utilization of heartbeat dynamics in continuous time', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931391

• L Sparacino, R Pernice, C Barà, D Svec, M Javorka, L Faes, 'Spectral analysis of the beat-to-beat variability of arterial compliance', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931352

• R Pernice, L Sparacino, C Barà, Y Antonacci, L Faes, 'Assessment of cardiorespiratory interactions during spontaneous and controlled breathing: linear parametric analysis', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931368

• R Pernice, I Lazic, C Barà, L Sparacino, G Mijatovic, T Loncar-Turukalo, L Faes, 'Assessment of cardiorespiratory interactions during spontaneous and controlled breathing: nonlinear model-free analysis', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931390

• Y Antonacci, C Barà, A Zaccaro, F Ferri, L Augugliaro, L Faes, 'Investigating the heartbeat-evoked cortical responses through parametric time-varying information measures', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931372

• G Volpes, C Barà, S Valenti, M Javorka, A Busacca, L Faes, R Pernice, 'Feasibility of ultra-short term complexity analysis of heart rate variability in resting state and during orthostatic stress', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), DOI: 10.1109/ESGCO55423.2022.9931388

• J Cernanova-Krohova, B Czippelova, Z Turianikova, M Kuricova, D Cernochova, L Faes, M Javorka, 'Cardiac chronotropic and vascular resistance arms of baroreflex in obesity', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931384

• H Pinto, C Dias, Y Antonacci, L Faes, AP Rocha, 'Frequency domain information decomposition: application to plateau waves of intracranial pressure', 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2022; DOI: 10.1109/ESGCO55423.2022.9931364

• C Barà, R Pernice, L Sparacino, Y Antonacci, M Javorka, L Faes, 'Analysis of cardiac pulse arrival time series at rest and during physiological stress', 2022 IEEE Mediterranean Electrotechnical Conference – MELECON, 2022; DOI: 10.1109/MELECON53508.2022.9842948

• D Fruet, C Barà, R Pernice, L Faes, G Nollo, 'Assessment of Driving Stress Through SVM and KNN Classifiers on Multi-Domain Physiological Data', 2022 IEEE Mediterranean Electrotechnical Conference – MELECON, 2022; DOI: 10.1109/MELECON53508.2022.9842891

• G Volpes, S Valenti, A Parisi, AC Busacca, L Faes, R Pernice, 'Low-Invasive Multisensor Real-Time Acquisition System for the Assessment of Cardiorespiratory and Skin Conductance Parameters', 2022 IEEE Mediterranean Electrotechnical Conference – MELECON, 2022; DOI: 10.1109/MELECON53508.2022.9842970

• G Volpes, L Sparacino, S Valenti, A Parisi, AC Busacca, L Faes, R Pernice, 'A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography', 2022 IEEE Medical Measurements & Applications – MeMeA, 2022; DOI: 10.1109/MeMeA54994.2022.9856536

• S Valenti, G Volpes, A Parisi, R Pernice, S Stivala, L Faes, AC Busacca, 'A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications', 2022 IEEE Medical Measurements & Applications – MeMeA, 2022; DOI: 10.1109/MeMeA54994.2022.9856478

• L Sparacino, Y Antonacci, D Marinazzo, S Stramaglia, L Faes, 'Quantifying high-order interactions in complex physiological networks: a frequency-specific approach', 11th International Conference on Complex Networks and their Applications – Complex Networks 2022; Studies in computational intelligence, Springer; vol 1077, pp 301-309. DOI: 10.1007/978-3-031-21127-0_25

• S Valenti, L Sparacino, R Pernice, D Marinazzo, H Almgren, A Comelli, L Faes, 'Assessing high-order interdependencies through static O-Information measures computed on resting state fMRI intrinsic component networks', in: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, 2022; 13373: 386-397. DOI: 10.1007/978-3-031-13321-3_34

2021

• D Nuzzi, L Faes, M Javorka, D Marinazzo, S Stramaglia, 'Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability', Proc of the 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 940-944. DOI: 10.23919/Eusipco47968.2020.9287642

• Y Antonacci, L Astolfi, L Faes, 'Testing different methodologies for Granger causality estimation: A simulation study', Proc of the 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 940-944. DOI: 10.23919/Eusipco47968.2020.9287405

• G Mijatovic, T Loncar Turukalo, N Bozanic, L Faes, 'Information-theoretic characterization of concurrent activity of neural spike trains', Proc of the 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 925-929. DOI: 10.23919/Eusipco47968.2020.9287357

• G Mijatovic, N Djuric, D Kljajic, M Milutinov, K Kasas-Lazetic, S Stramaglia, L Faes, 'Complexity and nonlinearity analysis of the time series of electric field intensity', Proc of the 29th Telecommunications forum TELFOR 2021, 2021, vol. 48, pp. 341-344. DOI: 10.1109/TELFOR52709.2021.9653264

• G Mijatovic, Y Antonacci, L Faes, 'Measuring the rate of information transfer in point-process data: application to cardiovascular interactions', Proc of the 43rd Annual Int Conf IEEE-EMBS, 2021, vol. 48, pp. 341-344. DOI: 10.1109/EMBC46164.2021.9629688

• H Pinto, R Pernice, C Amado, ME Silva, M Javorka, L Faes, AP Rocha, 'Assessing transfer entropy in cardiovascular and respiratory time series under long-range correlations', Proc of the 43rd Annual Int Conf IEEE-EMBS, 2021, vol. 48, pp. 758-751. DOI: 10.1109/EMBC46164.2021.9630004

• Y Antonacci, L Minati, G Mijatovic, L Faes, 'A new framework for the spectral information decomposition of multivariate Gaussian processes', Proc of the 43rd Annual Int Conf IEEE-EMBS, 2021, vol. 48, pp. 182-185. DOI: 10.1109/EMBC46164.2021.9630952

• R Pernice, G Volpes, J Krohova, M Javorka, A Busacca, L Faes, 'Feasibility of linear parametric estimation of dynamic information measures to assess physiological stress from short-term cardiovascular variability', Proc of the 43rd Annual Int Conf IEEE-EMBS, 2021, vol. 48, pp. 290-293. DOI: 10.1109/EMBC46164.2021.9630697

• I Kotiuchyi, R Pernice, A Popov, V Kharytonov, L Faes, 'Mutual Information Analysis of Brain-Heart Interactions in Epileptic Children', 2021 Signal Processing Symposium (SPSympo), 133-137. DOI: 10.1109/SPSympo51155.2020.9593311

2020

• A Vraka, F Hornero, A Quesada, L Faes, R Alcaraz, JJ Rieta: 'Reliable paroxysmal atrial fibrillation substrate assessment during sinus rhythm through optimal estimation of local activation waves dynamics', Proc. Of the 8th IEEE Int Conf on E-Health and Bioengineering (EHB 2020), 2020, DOI: 10.1109/EHB50910.2020.9280159

• A Vraka, F Hornero, A Quesada, L Faes, R Alcaraz, JJ Rieta: 'Reliability of local activation waves features to characterize paroxysmal atrial fibrillation substrate during sinus rhythm', Comp in Cardiol, 2020, vol. 47, pp. 1-4. DOI: 10.22489/CinC.2020.166

• Y Antonacci, L Faes, L Astolfi: 'Information dynamics analysis: a new approach based on sparse identification of linear parametric models', Proc of the 42nd Annual Int Conf IEEE-EMBS, 2020, vol. 47, pp. 26-29. DOI: 10.1109/EMBC44109.2020.9176114

• V Bari, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, A Porta: 'An empirical mode decomposition approach to assess the strength of heart period-systolic arterial pressure variability', Proc of the 42nd Annual Int Conf IEEE-EMBS, 2020, vol. 47, pp. 2573-2576. DOI: 10.1.109/EMBC44109.2020.9175647

• D Nuzzi, L Faes, M Javorka, D Marinazzo, S Stramaglia: 'Inclusion of instantaneous influences in the spectral decomposition of causality: application to the control mechanisms of heart rate variability', 28th European Signal Processing Conference (EUSIPCO), 2020, vol. 28, pp. 930-934. DOI: 10.23919/Eusipco47968.2020.9287642

• G Mijatovic, T Loncar-Turukalo, N Bozanovic, L Faes: 'Information-theoretic characterization of concurrent activity of neural spike trains', 28th European Signal Processing Conference (EUSIPCO), 2020, vol. 28, pp. 925-929. DOI: 10.23919/Eusipco47968.2020.9287357

• Y Antonacci, L Astolfi, L Faes: 'Testing different methodologies for Granger causality estimation: a simulation study', 28th European Signal Processing Conference (EUSIPCO), 2020, vol. 28, pp. 940-943. DOI: 10.23919/Eusipco47968.2020.9287405

• L Sparacino, R Pernice; G Nollo, L Faes, 'Causal and Non-Causal Frequency Domain Assessment of Spontaneous Baroreflex Sensitivity after Myocardial Infarction', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020. 9158160

• L Faes, R Pernice, G Nollo, 'Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2,2020; DOI: 10.1109/ESGCO49734.2020.9158151

• R Pernice, I Kotiuchyi, A Popov, V Kharytonov, A Busacca, D Marinazzo, L Faes, 'Synergistic and Redundant Brain-Heart Information in Patients with Focal Epilepsy', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158196

• J Krohova, B Czippelova, Z Turianikova, R Wiszt, N Mazgutova, L Faes, M Javorka, 'Selection of blood pressure signal for baroreflex analysis', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158041

• A Popov, L Faes, I Kotiuchyi, R Pernice, V Kharytonov, 'Entropy characteristics of heart rate wavelet multiscale components in epileptic children before and after seizures, 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158153

• I Lazić, T Lončar-Turukalo, L Faes, 'Information-Theoretic Analysis of Cardiorespiratory Interactions During Apneic Events in Sleep', 2020 11th Conference of the European Study Group '11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158168

• A Martins, C Amado, AP Rocha, ME Silva, R Pernice, M Javorka, L Faes, 'Vector Autoregressive Fractionally Integrated Models to Assess Multiscale Complexity in Cardiovascular and Respiratory Time Series', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158136

• M Javorka, J Krohova, B Czippelova, Z Turianikova, R Wiszt, N Mazgutova, L Faes, 'Redundancy and synergy in interactions among basic cardiovascular oscillations', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158024

• Y Antonacci, L Astolfi, A Busacca, R Pernice, G Nollo, L Faes, 'Model-Based Transfer Entropy Analysis of Brain-Body Interactions with Penalized regression techniques', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158165

• S Ghiasi, A Greco, L Faes, M Javorka, R Barbieri, EP Scilingo, G Valenza, 'Towards Disentangling the Contribution of Different Pathways for the Regulation of Cardiac Activity: A Pilot Study', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158187

• D Nuzzi, D Marinazzo, M Javorka, L Faes, S Stramaglia, 'Partial Information Decomposition in the Frequency Domain: Application to Control Mechanisms of Heart Rate Variability at Rest and During Postural Stress', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1-2, 2020; DOI: 10.1109/ESGCO49734.2020.9158029

• R Pernice, A Parisi, S Guarino, G Fallica, V Vinciguerra, G Ferla, L Faes, A Busacca: 'Low invasive multisensor acquisition system for real-time monitoring of cardiovascular and respiratory parameters', IEEE 20th Mediterranean Electrotechnical Conference ( MELECON), 2020, Palermo, Italy; DOI: 10.1109/MELECON48756.2020.9140716     

2019

• R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova A Busacca, L Faes: 'Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography', Proc of the 40th Annual Int Conf IEEE-EMBS, 2018, vol 45, pp.5610-5613. DOI: 10.1109/EMBC.2018.8513634.

• L Faes, J Krohova, R Pernice, A Busacca, M Javorka: 'A new frequency domain measure of causality based on partial spectral decomposition of autoregressive processes and its application to cardiovascular interactions', Proc of the 41th Annual Int Conf IEEE-EMBS, 2019, vol. 46, pp. 4258-4261. DOI: 10.1109/EMBC.2019.8857312.

• R Pernice, M Zanetti, G Nollo, M De Cecco, A Busacca, L Faes: 'Mutual information analysis of brain-body interactions during different levels of mental stress', Proc of the 41th Annual Int Conf IEEE-EMBS, 2019, vol. 46, pp. 6176-6179. DOI: 10.1109/EMBC.2019.8856711.

• R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova, A Busacca, L Faes: 'A validity and reliability study of Linear Complexity Measures of Pulse Rate Variability', Proc of the 41th Annual Int Conf IEEE-EMBS, 2019, vol. 46, pp. 5568-5571. DOI: 10.1109/EMBC.2019.8856594.

• V Bari, B Cairo, E Vaini, B De Maria, D Tonon, G Rossato, L Faes, A Porta: 'Strength and latency of the HP-SAP closed loop variability interactions in subjects prone to develop postural syncope', Proc of the 41th Annual Int Conf IEEE-EMBS, 2019, vol. 46, pp. 2003-2006. DOI: 10.1109/EMBC.2019.8856288.

• S Ghiasi, A Greco, L Faes, M Javorka, EP Scilingo, G Valenza: 'Quantification of different regulatory pathways contributing to heartbeat dynamics during multiple stimuli: a proof of the concept', Proc of the 41th Annual Int Conf IEEE-EMBS, 2019, vol. 46, pp. 4934-4937. DOI: 10.1109/EMBC.2019.8856288.

• R Pernice, A Parisi, G Adamo, S Guarino, L Faes, A Busacca: 'A portable system for multiple parameters monitoring: towards assessment of health conditions and stress level in the automotive field', 2019 AEIT Intl. Conf. of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2019; art. no. 8804607. DOI: 10.23919/EETA.2019.8804607

• I Kotyouchi, I Seleznov, L Faes, R Pernice, V Kharytonov, A Popov: 'Pre- and post-ictal brain activity characterization using combined source decomposition and connectivity estimation in epileptic children', 2019 Signal Processing Symposium (SPSYMPO), 2019; 126-129. DOI: 10.1109/SPS.2019.8882099

• R Pernice, G Nollo, M Zanetti, M De Cecco, AC Busacca, L Faes: 'Minimally invasive assessment of mental stress based on wearable wireless physiological sensors and multivariate biosignal processing', IEEE-Eurocon Conf., 2019, Novi Sad, Serbia, pp. 1 -5; DOI: 10.1109/EUROCON.2019.8861614

• E Vaini, V Bari, D Tonon, B Cairo, B De Maria, L Faes, G Rossato, A Porta: 'Computation of mean cerebral blood flow velocity for the assessment of cerebral autoregulation: comparison of different strategies', Comp. Cardiol, 2019, 46:625-628. ISSN: 2325-887X DOI: 10.23919/CinC49843.2019.9005741

2018

• L Faes, V Bari, M Ranucci, A Porta: 'Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia', Proc of the 40th Annual Int Conf IEEE-EMBS, 2018, vol 45, pp. 4607-4610. DOI: 10.1109/EMBC.2018.8513191.

• R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova A Busacca, L Faes: 'Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography', Proc of the 40th Annual Int Conf IEEE-EMBS, 2018, vol 45, pp.5610-5613. DOI: 10.1109/EMBC.2018.8513634.