Luca Faes

Luca Faes personal webpage

I am a biomedical engineer, currently working as Associate Professor at the Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, and at the BIOtech Center of the Dept. of Industrial Engineering, University of Trento, Italy.

My research regards the development of methods for time series analysis and system modeling, with applications to cardiovascular neuroscience, cardiac arrhythmias, brain connectivity and physiological networks. Within these fields, I have authored five book chapters and more than 150 publications, receiving more than 3100 citations until now.

News - 2019

Reviewer activity- Publons profile

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Recent works

Works in progress:

J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszt, M Javorka, L Faes, 'Information domain analysis of respiratory sinus arrhythmia mechanisms', 2018

A Greco, L Faes, V Catambrone, R Barbieri, EP Scilingo, G Valenza, 'Causal brain-heart information transfer during visual emotional elicitation in healthy subjects', 2018

R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova, AC Busacca, L Faes, 'Comparison of Short Term Heart Rate Variability Indexes evaluated throughElectrocardiographic and Continuous Blood Pressure Monitoring', 2018

L Faes, MA Pereira, R Pernice, M Javorka, ME Silva, AP Rocha, 'Multiscale information storage of linear long-range correlated stochastic processes', 2018


Recent publications:

M Valente, M Javorka, G Nollo, A Porta, L Faes, 'Univariate and multivariate conditional entropy measures for the characterization of short-term cardiovascular complexity under physiological stress', Physiological Measurement, 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., 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., 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, 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, 2018, in press.

L Faes, A Porta, M Javorka, G Nollo, 'Efficient computation of multiscale entropy over short biomedical time series based on linear state-space models', Complexity, 2017; 2017:1768264 (13 pages). DOI: 10.1155/2017/1768264.

L Faes, S Stramaglia, G Nollo, D Marinazzo, 'Multiscale Granger causality', Phys. Rev. E, 2017, 96:042150 (7 pages). DOI: 10.1103/PhysRevE.96.042150

A Beda,  DMS Simpson, L Faes 'Estimation of Confidence Limits for Descriptive Indexes Derived from Autoregressive analysis of  Time Series: Methods and Application to Heart Rate Variability', PLoS ONE, 2017, 12(10):e0183230. DOI: 10.1371/journal.pone.0183230

L Faes, S Stramaglia, D Marinazzo, 'On the interpretability and computational reliability of frequency-domain Granger causality', F1000 Research, 2017,6:1710; DOI:10.12688/f1000research.12694.1

L Faes, A Porta, G Nollo, M Javorka, 'Information decomposition in multivariate systems: definitions, implementation and application to cardiovascular networks', Entropy, special issue on Multivariate entropy measures and their applications, 2017, 19(1), 5. DOI: 10.3390/e19010005

W Xiong, L Faes, P Ch Ivanov, 'Entropy measures, entropy estimators and their performance in quantifying complex dynamics: effects of artifacts, nonstationarity and long-range correlations', Phys. Rev. E, 2017; 95:062114 (37 pages). DOI: 10.1103/PhysRevE.95.062114