Luca Faes

Overview

Best Publications

• Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique

  Luca Faes;Giandomenico Nollo;Alberto Porta

  279
  Citations

• Surrogate data analysis for assessing the significance of the coherence function

  L. Faes;G.D. Pinna;A. Porta;R. Maestri

  231
  Citations

• Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations.

  Wanting Xiong;Luca Faes;Plamen Ch. Ivanov

  216
  Citations

• MuTE: A MATLAB Toolbox to Compare Established and Novel Estimators of the Multivariate Transfer Entropy

  Alessandro Montalto;Luca Faes;Daniele Marinazzo

  213
  Citations

• An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to 24 h Holter recordings in healthy and heart failure humans.

  A. Porta;L. Faes;M. Masé;G. D’Addio

  181
  Citations

• Critical Comments on EEG Sensor Space Dynamical Connectivity Analysis

  Frederik Van de Steen;Luca Faes;Esin Karahan;Jitkomut Songsiri

  171
  Citations

• Wiener–Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience

  Alberto Porta;Luca Faes

  166
  Citations

• A method for quantifying atrial fibrillation organization based on wave-morphology similarity

  L. Faes;G. Nollo;R. Antolini;F. Gaita

  159
  Citations

• Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

  Luca Faes;Alberto Porta;Giandomenico Nollo

  146
  Citations

• Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

  Luca Faes;Silvia Erla;Giandomenico Nollo

  143
  Citations

• Linear and non-linear brain-heart and brain-brain interactions during sleep.

  Luca Faes;Daniele Marinazzo;Fabrice Jurysta;Giandomenico Nollo

  136
  Citations

• Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches.

  Alberto Porta;Luca Faes;Vlasta Bari;Andrea Marchi

  129
  Citations

• Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

  Luca Faes;Luca Faes;Alberto Porta;Giandomenico Nollo;Giandomenico Nollo;Michal Javorka

  116
  Citations

• Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions

  Luca Faes;Giandomenico Nollo

  116
  Citations

• Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

  Luca Faes;Giandomenico Nollo;Alberto Porta

  114
  Citations

• 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.

  Luca Faes;Alberto Porta;Giandomenico Nollo

  113
  Citations

• Testing Frequency-Domain Causality in Multivariate Time Series

  L Faes;A Porta;G Nollo

  110
  Citations

• Information dynamics of brain?heart physiological networks during sleep

  Luca L. Faes;Giandomenico G. Nollo;Fabrice Jurysta;Daniele D. Marinazzo

  109
  Citations

• Estimating the decomposition of predictive information in multivariate systems

  Luca Faes;Dimitris Kugiumtzis;Giandomenico Nollo;Fabrice Jurysta

  109
  Citations

• Mechanisms of causal interaction between short-term RR interval and systolic arterial pressure oscillations during orthostatic challenge

  Luca Faes;Giandomenico Nollo;Alberto Porta

  108
  Citations

• Information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplings.

  Luca Faes;Giandomenico Nollo;Alberto Porta

  107
  Citations

• Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series

  Luca Faes;Giandomenico Nollo;Alberto Porta

  105
  Citations

• A framework for assessing frequency domain causality in physiological time series with instantaneous effects.

  Luca Faes;Silvia Erla;Alberto Porta;Giandomenico Nollo;Giandomenico Nollo

  104
  Citations