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 140 publications, receiving more than 2700 citations until now.

Contact me at: faes.luca @ gmail.com

News - 2018

Conference attendance 2018
NDES 2018 - Catania, Italy - June 11-13, 2018
EMBC 2018 - Honolulu, Hawaii - July 11-15, 2017
Invited session: "Multiscale Complexity Analysis of Biomedical Signals: Methods and Applications"

ESGCO 2018 - Vienna, Austria, Sep 17-19, 2018
Invited session: "Multiscale Analysis of Biological Oscillations"
Special Issue Entropy 2018


Reviewer activity- Publons profile

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Recent works


Works in progress:

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', 2018

L Minati, L Faes, M Frasca, P Oswiecimka, V Drozdz, 'Remote synchronization of amplitudes: an interference and demodulation effect', 2018

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

L Faes, V Bari, M Ranucci, A Porta: 'Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia', Proc of the 39th Annual Int Conf IEEE-EMBS, 2018

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 39th Annual Int Conf IEEE-EMBS, 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, in press.

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