L Faes

Summary

Affiliation: University of Trento
Country: Italy

Publications

  1. doi request reprint A framework for assessing frequency domain causality in physiological time series with instantaneous effects
    Luca Faes
    Department of Physics and BIOtech, University of Trento, 38060 Mattarello, Trento, Italy
    Philos Trans A Math Phys Eng Sci 371:20110618. 2013
  2. doi request reprint Mechanisms of causal interaction between short-term RR interval and systolic arterial pressure oscillations during orthostatic challenge
    Luca Faes
    Department Physics and BIOTech Center, University of Trento, Trento, Italy
    J Appl Physiol 114:1657-67. 2013
  3. doi request reprint Measuring frequency domain granger causality for multiple blocks of interacting time series
    Luca Faes
    Lab Biosegnali, Dipartimento di Fisica and BioTech, Universita di Trento, Via delle Regole 101, 38060, Mattarello, Trento, Italy
    Biol Cybern 107:217-32. 2013
  4. doi request reprint Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2012:3672-5. 2012
  5. pmc Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis
    Luca Faes
    Laboratorio Biosegnali, Dipartimento di Fisica and BioTech, Universita di Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Comput Math Methods Med 2012:140513. 2012
  6. doi request reprint Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series
    Luca Faes
    Lab Biosegnali, Department of Physics and BIOtech, University of Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Comput Biol Med 42:290-7. 2012
  7. doi request reprint Assessing directional interactions among multiple physiological time series: the role of instantaneous causality
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello, TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2011:5919-22. 2011
  8. doi request reprint Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variability
    Luca Faes
    Biophysics and Biosignals Laboratory, Department of Physics, University of Trento, Trent 12 I 38100, Italy
    IEEE Trans Biomed Eng 56:685-95. 2009
  9. doi request reprint Surrogate data approaches to assess the significance of directed coherence: application to EEG activity propagation
    Luca Faes
    Dept of Physics and BioTech, University of Trento, 38060 Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2009:6280-3. 2009
  10. doi request reprint Testing frequency-domain causality in multivariate time series
    Luca Faes
    Biophysics and Biosignals Laboratory, BioTech, University of Trento, 38060 Trento, Italy
    IEEE Trans Biomed Eng 57:1897-906. 2010

Collaborators

Detail Information

Publications40

  1. doi request reprint A framework for assessing frequency domain causality in physiological time series with instantaneous effects
    Luca Faes
    Department of Physics and BIOtech, University of Trento, 38060 Mattarello, Trento, Italy
    Philos Trans A Math Phys Eng Sci 371:20110618. 2013
    ....
  2. doi request reprint Mechanisms of causal interaction between short-term RR interval and systolic arterial pressure oscillations during orthostatic challenge
    Luca Faes
    Department Physics and BIOTech Center, University of Trento, Trento, Italy
    J Appl Physiol 114:1657-67. 2013
    ....
  3. doi request reprint Measuring frequency domain granger causality for multiple blocks of interacting time series
    Luca Faes
    Lab Biosegnali, Dipartimento di Fisica and BioTech, Universita di Trento, Via delle Regole 101, 38060, Mattarello, Trento, Italy
    Biol Cybern 107:217-32. 2013
    ..The proposed measures find their natural application in the evaluation of directional interactions in neurophysiological settings where several brain activity signals are simultaneously recorded from multiple regions of interest...
  4. doi request reprint Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2012:3672-5. 2012
    ..When applied to MEG data, cTE detects significant information flow from the visual cortex to the somatosensory area during task execution, suggesting the activation of mechanisms of multisensory integration...
  5. pmc Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis
    Luca Faes
    Laboratorio Biosegnali, Dipartimento di Fisica and BioTech, Universita di Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Comput Math Methods Med 2012:140513. 2012
    ....
  6. doi request reprint Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series
    Luca Faes
    Lab Biosegnali, Department of Physics and BIOtech, University of Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Comput Biol Med 42:290-7. 2012
    ....
  7. doi request reprint Assessing directional interactions among multiple physiological time series: the role of instantaneous causality
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello, TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2011:5919-22. 2011
    ..The application on real MV cardiovascular and EEG time series is then reported to investigate the role played by instantaneous causality in the practical evaluation of frequency domain connectivity...
  8. doi request reprint Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variability
    Luca Faes
    Biophysics and Biosignals Laboratory, Department of Physics, University of Trento, Trent 12 I 38100, Italy
    IEEE Trans Biomed Eng 56:685-95. 2009
    ....
  9. doi request reprint Surrogate data approaches to assess the significance of directed coherence: application to EEG activity propagation
    Luca Faes
    Dept of Physics and BioTech, University of Trento, 38060 Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2009:6280-3. 2009
    ....
  10. doi request reprint Testing frequency-domain causality in multivariate time series
    Luca Faes
    Biophysics and Biosignals Laboratory, BioTech, University of Trento, 38060 Trento, Italy
    IEEE Trans Biomed Eng 57:1897-906. 2010
    ..e., heart period, arterial pressure, and respiration variability, as well as multichannel EEG signals, showed that CFT surrogates disclose causal patterns in accordance with expected cardiorespiratory and neurophysiological mechanisms...
  11. doi request reprint Assessing frequency domain causality in cardiovascular time series with instantaneous interactions
    L Faes
    Dipartimento di Fisica and BioTech, Universita di Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Methods Inf Med 49:453-7. 2010
    ..Although the multivariate autoregressive (MVAR) model traditionally used for PDC computation accounts only for lagged effects, instantaneous effects cannot be neglected in the analysis of cardiovascular time series...
  12. doi request reprint Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions
    Luca Faes
    Lab Biosegnali, Department of Physics and BIOtech, University of Trento, Via delle Regole 101, 38123, Mattarello, Trento, Italy
    Biol Cybern 103:387-400. 2010
    ..It is then applied to representative examples of cardiorespiratory and EEG MV time series. They suggest that ePDC and iPDC are better interpretable than PDC and gPDC in terms of the known cardiovascular and neural physiologies...
  13. doi request reprint Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time series
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2010:102-5. 2010
    ..The method is then applied to real magnetoencephalographic data measured during a visuo-tactile cognitive experiment, showing values of causal coupling consistent with the hypothesis of a cross-processing of different sensory modalities...
  14. doi request reprint An identifiable model to assess frequency-domain granger causality in the presence of significant instantaneous interactions
    Luca Faes
    Dept of Physics and BioTech, University of Trento, Mattarello TN, Italy
    Conf Proc IEEE Eng Med Biol Soc 2010:1699-702. 2010
    ....
  15. ncbi request reprint Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique
    Luca Faes
    Department of Physics and BIOtech, University of Trento, Trento, Italy
    Phys Rev E Stat Nonlin Soft Matter Phys 83:051112. 2011
    ....
  16. ncbi request reprint Mutual nonlinear prediction of cardiovascular variability series: comparison between exogenous and autoregressive exogenous models
    Luca Faes
    Biophysics and Biosignals Laboratory, Department of Physics, University of Trento, 38050 Povo, Trento, Italy
    Conf Proc IEEE Eng Med Biol Soc 2007:5955-8. 2007
    ..The transition from supine to upright position was associated with an enhancement of the HR and BP mutual regulation, compatible with the activation of the sympathetic nervous system induced by tilt...
  17. ncbi request reprint Causal linear parametric model for baroreflex gain assessment in patients with recent myocardial infarction
    G Nollo
    Dipartimento di Fisica, Universita di Trento, and Istituto Trentino di Cultura irst, 38050 Povo Trento, Italy
    Am J Physiol Heart Circ Physiol 280:H1830-9. 2001
    ..Thus the baroreflex gain obtained describing the causal dependence of R-R interval on SAP showed a good agreement with alpha(PHE) and may provide additional information regarding the gain estimation in the frequency domain...
  18. ncbi request reprint Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals
    L Faes
    Lab Biosegnali, Dipartimento di Fisica, Universita di Trento, Via Sommarive 14, 38050 Trento, Povo, Italy
    Biol Cybern 90:390-9. 2004
    ..Thus, the proposed causal approach seems to be appropriate for the estimation of parameters, like the gain and the phase lag from SAP to RR interval, which have a large clinical and physiological relevance...
  19. ncbi request reprint A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images
    Alessandro Cristoforetti
    Department of Physics, University of Trento, 38050 Povo Trento, Italy
    Phys Med Biol 52:6323-37. 2007
    ....
  20. doi request reprint Quantifying changes in EEG complexity induced by photic stimulation
    S Erla
    Biophysics and Biosignals Lab, Dept of Physics Biotech, University of Trento, Via delle Regole 101, 38123 Mattarello, Trento, Italy
    Methods Inf Med 49:496-500. 2010
    ..This study aims to characterize EEG complexity, measured as the prediction error resulting from nonlinear prediction, in healthy humans during photic stimulation...
  21. ncbi request reprint Quantification of synchronization during atrial fibrillation by Shannon entropy: validation in patients and computer model of atrial arrhythmias
    Michela Masè
    Department of Physics, University of Trento, via Sommarive, 14, I 38050 Povo, Trento, Italy
    Physiol Meas 26:911-23. 2005
    ....
  22. ncbi request reprint Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation
    L Faes
    INFM and Department of Physics, University of Trento, Italy
    Med Biol Eng Comput 39:656-63. 2001
    ..These procedures are suitable for providing automatic (by CA) or semi-automatic (by PCA) measures of the extent of local organisation of AF in the pre-ablation treatment phase...
  23. ncbi request reprint A method for quantifying atrial fibrillation organization based on wave-morphology similarity
    Luca Faes
    Laboratorio Biosegnali, Dipartimento di Fisica, Universita di Trento, Trento, Italy
    IEEE Trans Biomed Eng 49:1504-13. 2002
    ....
  24. ncbi request reprint Surrogate data analysis for assessing the significance of the coherence function
    Luca Faes
    Laboratorio Biosegnali, Dipartimento di Fisica, Universita di Trento, and INFM, 38050 Povo, Trento, Italy
    IEEE Trans Biomed Eng 51:1156-66. 2004
    ....
  25. ncbi request reprint Evidence of unbalanced regulatory mechanism of heart rate and systolic pressure after acute myocardial infarction
    Giandomenico Nollo
    Dipartimento di Fisica, Universita di Trento, and Istituto Trentino di Cultura ist, 38050 Povo, Trento, Italy
    Am J Physiol Heart Circ Physiol 283:H1200-7. 2002
    ..Furthermore, the neural regulation of the cardiovascular system resulted in imbalance as a consequence of impaired feedback and enhanced feedforward control mechanisms...
  26. ncbi request reprint Quantifying the contribution of arm postural tremor to the outcome of goal-directed pointing task by displacement measures
    Barbara Pellegrini
    CeBiSM Centre of Bioengineering and Motor Science, University of Trento, via Matteo del Ben 5 B, 38068 Rovereto TN, Italy
    J Neurosci Methods 139:185-93. 2004
    ....
  27. ncbi request reprint Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gain
    Giandomenico Nollo
    Dipartimento di Fisica, Universita di Trento, Via Sommarive 14, 38050 Povo, Trento, Italy
    Am J Physiol Heart Circ Physiol 288:H1777-85. 2005
    ..Thus the importance of nonbaroreflex interactions pointed out the necessity of accounting for causality in the cross-spectral analysis of the interactions between cardiovascular variables in healthy humans...
  28. ncbi request reprint Wave similarity mapping shows the spatiotemporal distribution of fibrillatory wave complexity in the human right atrium during paroxysmal and chronic atrial fibrillation
    Flavia Ravelli
    Department of Physics, University of Trento, Italy
    J Cardiovasc Electrophysiol 16:1071-6. 2005
    ....
  29. ncbi request reprint A morphology-based approach to the evaluation of atrial fibrillation organization
    Luca Faes
    Department of Physics, University of Trento, Italy
    IEEE Eng Med Biol Mag 26:59-67. 2007
  30. ncbi request reprint Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope
    Luca Faes
    Laboratorio Biosegnali, Dipartimento di Fisica, Universita di Trento, Italy
    IEEE Trans Biomed Eng 53:65-73. 2006
    ..These findings, which were not elicited by traditional cross-spectral analysis, strongly suggest the use of the causal approach for the study of syncope mechanisms...
  31. ncbi request reprint Small-sample characterization of stochastic approximation staircases in forced-choice adaptive threshold estimation
    Luca Faes
    Dipartimento di Fisica, Universita di Trento, Povo, Trento, Italy
    Percept Psychophys 69:254-62. 2007
    ..These results prompt the utilization of SA staircases in practical forced-choice estimation of sensory thresholds...
  32. ncbi request reprint Isolation of the left atrial surface from cardiac multi-detector CT images based on marker controlled watershed segmentation
    Alessandro Cristoforetti
    Department of Physics, University of Trento, 38050 Povo, Trento, Italy
    Med Eng Phys 30:48-58. 2008
    ..2 mm). The accurate extraction of the inner LA-PVs walls provided by this method, along with the minimal required human intervention, should facilitate the use of anatomical atrial models for the non-pharmacological treatment of AF...
  33. doi request reprint An automatic system for the analysis and classification of human atrial fibrillation patterns from intracardiac electrograms
    Giandomenico Nollo
    Biophysics and Biosignals Laboratory, Department of Physics, University of Trento, 38050 Trento, Italy
    IEEE Trans Biomed Eng 55:2275-85. 2008
    ..Finally, the system identifies a combination of indices characterizing changes of morphology of atrial activation waves and perturbation of the isoelectric line as the most effective in separating the AF types...
  34. ncbi request reprint Deterioration of organization in the first minutes of atrial fibrillation: a beat-to-beat analysis of cycle length and wave similarity
    Flavia Ravelli
    Department of Physics, University of Trento, Trento, Italy
    J Cardiovasc Electrophysiol 18:60-5. 2007
    ..Nevertheless, the time course of organization in the first minutes of AF has not been quantified yet...
  35. doi request reprint Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methods
    Giandomenico Nollo
    Department of Physics, University of Trento, 38050 Povo, Trento, Italy
    Philos Transact A Math Phys Eng Sci 367:1423-40. 2009
    ..Both CP and PI noted a marked decrease in coupling in both causal directions in syncope subjects during LT, documenting the impairment of cardiovascular regulation in the minutes just preceding syncope...
  36. ncbi request reprint Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series
    Luca Faes
    Department of Physics, University of Trento, Trento, Italy
    Biomed Tech (Berl) 51:255-9. 2006
    ..Moreover, application to representative examples of heart rate, systolic arterial pressure and respiration series allowed the inference of causal relationships related to known physiological mechanisms and experimental conditions...
  37. ncbi request reprint Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability
    Luca Faes
    Dipartimento di Fisica, Università di Trento and ITC irst, Via Sommarive Povo, 38050 Trento, Italy
    Med Biol Eng Comput 44:383-92. 2006
    ....
  38. doi request reprint Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability
    Luca Faes
    Lab Biosegnali, Dipartimento di Fisica, Universita di Trento, Via Sommarive 14, Povo, Trento, 38050, Italy
    Ann Biomed Eng 36:381-95. 2008
    ..The proposed is a general method, thus, it can be applied to a wide variety of physiological signals to better understand causality and coupling that may be different between normal and diseased conditions...
  39. ncbi request reprint Experimental approach for testing the uncoupling between cardiovascular variability series
    L Faes
    INFM and Department of Physics, University of Trento, Trento, Italy
    Med Biol Eng Comput 40:565-70. 2002
    ..The broad applicability of this approach should favour its introduction for assessing the significance of the coupling between cardiovascular variability series...
  40. doi request reprint Nonlinear coupling is absent in acute myocardial patients but not healthy subjects
    Yan Bai
    Dept of Biomedical Engineering, SUNY at Stony Brook, HSC T18, Rm 030, Stony Brook, NY 11794 8181, USA
    Am J Physiol Heart Circ Physiol 295:H578-86. 2008
    ....