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 2500 citations until now.

Contact me at: faes.luca @

News - 2017

Conference attendance 2017
IEEE - UKRCON 2017 - Kyiv, Ukrain - May 29 - June 2, 2017
EMBC 2017 - Jeju Island, Korea - July 11-15, 2017
International Summer Institue on Network Physiology - ISINP - Como, Italy, July 24-29, 2017

Recent works

Works in progress:

M Javorka, J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszta L Faes, ' Towards understanding the complexity of cardiovascular oscillations: insights from information theory ', Med. Eng. Phys., submitted, 2018

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