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Biological Cybernetics|January 30, 2013
Measuring frequency domain granger causality for multiple blocks of interacting time seriesLuca Faes, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Assessing directional interactions among multiple physiological time series: the role of instantaneous causalityLuca Faes, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variabilityLuca Faes, Giandomenico Nollo
Medical & Biological Engineering & Computing|August 29, 2006
Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variabilityLuca Faes, Giandomenico Nollo
Autonomic Neuroscience : Basic & Clinical|April 2, 2013
Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategyLuca Faes, Alberto Porta, Gianluca Rossato, et al.
Biomedizinische Technik. Biomedical Engineering|October 26, 2006
Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability seriesLuca Faes, Roberta Cucino, Giandomenico Nollo
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 6, 2016
Nonlinear effects of respiration on the crosstalk between cardiovascular and cerebrovascular control systemsVlasta Bari, Andrea Marchi, Beatrice De Maria, et al.
IEEE Transactions on Bio-Medical Engineering|March 11, 2009
A method for the time-varying nonlinear prediction of complex nonstationary biomedical signalsLuca Faes, Ki H Chon, Giandomenico Nollo
Annals of Biomedical Engineering|January 30, 2008
Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variabilityLuca Faes, Giandomenico Nollo, Ki H Chon
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