Luca Faes
Luca Faes
Professor of Biomedical Engineering, Department of Engineering, University of Palermo
Verified email at - Homepage
Cited by
Cited by
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique
L Faes, G Nollo, A Porta
Physical Review E 83 (5), 051112, 2011
Surrogate data analysis for assessing the significance of the coherence function
L Faes, GD Pinna, A Porta, R Maestri, G Nollo
IEEE transactions on biomedical engineering 51 (7), 1156-1166, 2004
MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropy
A Montalto, L Faes, D Marinazzo
PloS one 9 (10), e109462, 2014
Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations
W Xiong, L Faes, PC Ivanov
Physical review E 95 (6), 062114, 2017
Critical comments on EEG sensor space dynamical connectivity analysis
F Van de Steen, L Faes, E Karahan, J Songsiri, PA Valdes-Sosa, ...
Brain topography 32, 643-654, 2019
Wiener–Granger causality in network physiology with applications to cardiovascular control and neuroscience
A Porta, L Faes
Proceedings of the IEEE 104 (2), 282-309, 2015
A method for quantifying atrial fibrillation organization based on wave-morphology similarity
L Faes, G Nollo, R Antolini, F Gaita, F Ravelli
IEEE Transactions on Biomedical Engineering 49 (12), 1504-1513, 2002
Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gain
G Nollo, L Faes, A Porta, R Antolini, F Ravelli
American Journal of Physiology-Heart and Circulatory Physiology 288 (4 …, 2005
An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: application to 24h Holter recordings in healthy …
A Porta, L Faes, M Masé, G D’addio, GD Pinna, R Maestri, N Montano, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (1), 2007
Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis
L Faes, S Erla, G Nollo
Computational and mathematical methods in medicine 2012 (1), 140513, 2012
Information decomposition in bivariate systems: theory and application to cardiorespiratory dynamics
L Faes, A Porta, G Nollo
Entropy 17 (1), 277-303, 2015
Testing frequency-domain causality in multivariate time series
L Faes, A Porta, G Nollo
IEEE transactions on biomedical engineering 57 (8), 1897-1906, 2010
Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions
L Faes, G Nollo
Biological cybernetics 103, 387-400, 2010
Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighbors
L Faes, A Porta, G Nollo
Physical Review E 78 (2), 026201, 2008
Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches
A Porta, L Faes, V Bari, A Marchi, T Bassani, G Nollo, NM Perseguini, ...
PloS one 9 (2), e89463, 2014
Information dynamics of brain–heart physiological networks during sleep
L Faes, G Nollo, F Jurysta, D Marinazzo
New Journal of Physics 16 (10), 105005, 2014
Linear and non-linear brain–heart and brain–brain interactions during sleep
L Faes, D Marinazzo, F Jurysta, G Nollo
Physiological measurement 36 (4), 683, 2015
Information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplings
L Faes, G Nollo, A Porta
Frontiers in physiology 2, 13275, 2011
Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series
L Faes, G Nollo, A Porta
Entropy 15 (1), 198-219, 2013
Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series
L Faes, G Nollo, A Porta
Computers in biology and medicine 42 (3), 290-297, 2012
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