Research Topics
| L FaesSummaryAffiliation: University of Trento Country: Italy Publications
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Detail Information
Publications
Measuring frequency domain granger causality for multiple blocks of interacting time seriesLuca 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...- Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time seriesLuca 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... 
Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysisLuca 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....- Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability seriesLuca 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.... - Assessing directional interactions among multiple physiological time series: the role of instantaneous causalityLuca 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... - Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variabilityLuca Faes
Biophysics and Biosignals Laboratory, Department of Physics, University of Trento, Trent 12 I 38100, Italy
IEEE Trans Biomed Eng 56:685-95. 2009.... - Surrogate data approaches to assess the significance of directed coherence: application to EEG activity propagationLuca Faes
Dept of Physics and BioTech, University of Trento, 38060 Mattarello TN, Italy
Conf Proc IEEE Eng Med Biol Soc 2009:6280-3. 2009.... - Testing frequency-domain causality in multivariate time seriesLuca 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... - Assessing frequency domain causality in cardiovascular time series with instantaneous interactionsL 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... - Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactionsLuca 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... - Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time seriesLuca 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... - An identifiable model to assess frequency-domain granger causality in the presence of significant instantaneous interactionsLuca Faes
Dept of Physics and BioTech, University of Trento, Mattarello TN, Italy
Conf Proc IEEE Eng Med Biol Soc 2010:1699-702. 2010.... 
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding techniqueLuca Faes
Department of Physics and BIOtech, University of Trento, Trento, Italy
Phys Rev E Stat Nonlin Soft Matter Phys 83:051112. 2011....- Mutual nonlinear prediction of cardiovascular variability series: comparison between exogenous and autoregressive exogenous modelsLuca 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... - Causal linear parametric model for baroreflex gain assessment in patients with recent myocardial infarctionG 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... - Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signalsL 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... - A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical imagesAlessandro Cristoforetti
Department of Physics, University of Trento, 38050 Povo Trento, Italy
Phys Med Biol 52:6323-37. 2007.... - Quantifying changes in EEG complexity induced by photic stimulationS 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... - Quantification of synchronization during atrial fibrillation by Shannon entropy: validation in patients and computer model of atrial arrhythmiasMichela Masè
Department of Physics, University of Trento, via Sommarive, 14, I 38050 Povo, Trento, Italy
Physiol Meas 26:911-23. 2005.... - Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillationL 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... - Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability seriesLuca 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... - Evidence of unbalanced regulatory mechanism of heart rate and systolic pressure after acute myocardial infarctionGiandomenico 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... - A method for quantifying atrial fibrillation organization based on wave-morphology similarityLuca Faes
Laboratorio Biosegnali, Dipartimento di Fisica, Universita di Trento, Trento, Italy
IEEE Trans Biomed Eng 49:1504-13. 2002.... - Surrogate data analysis for assessing the significance of the coherence functionLuca Faes
Laboratorio Biosegnali, Dipartimento di Fisica, Universita di Trento, and INFM, 38050 Povo, Trento, Italy
IEEE Trans Biomed Eng 51:1156-66. 2004.... - Isolation of the left atrial surface from cardiac multi-detector CT images based on marker controlled watershed segmentationAlessandro 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... - Quantifying the contribution of arm postural tremor to the outcome of goal-directed pointing task by displacement measuresBarbara 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.... - Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gainGiandomenico 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... - Wave similarity mapping shows the spatiotemporal distribution of fibrillatory wave complexity in the human right atrium during paroxysmal and chronic atrial fibrillationFlavia Ravelli
Department of Physics, University of Trento, Italy
J Cardiovasc Electrophysiol 16:1071-6. 2005.... - Small-sample characterization of stochastic approximation staircases in forced-choice adaptive threshold estimationLuca 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... - Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variabilityLuca 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... - An automatic system for the analysis and classification of human atrial fibrillation patterns from intracardiac electrogramsGiandomenico 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... - Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variabilityLuca Faes
Dipartimento di Fisica, Università di Trento and ITC irst, Via Sommarive Povo, 38050 Trento, Italy
Med Biol Eng Comput 44:383-92. 2006.... - Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methodsGiandomenico Nollo
Department of Physics, University of Trento, 38050 Povo, Trento, Italy
Philos Trans 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... - Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncopeLuca 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... - A morphology-based approach to the evaluation of atrial fibrillation organizationLuca Faes
Department of Physics, University of Trento, Italy
IEEE Eng Med Biol Mag 26:59-67. 2007 - Deterioration of organization in the first minutes of atrial fibrillation: a beat-to-beat analysis of cycle length and wave similarityFlavia 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... - Experimental approach for testing the uncoupling between cardiovascular variability seriesL 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... - Nonlinear coupling is absent in acute myocardial patients but not healthy subjectsYan 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....