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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|March 28, 2009
Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methodsGiandomenico Nollo, Luca Faes, Renzo Antolini, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2016
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp ElectroencephalogramLuca Faes, Daniele Marinazzo, Giandomenico Nollo, et al.
Journal of Neuroscience Methods|October 19, 2004
Quantifying the contribution of arm postural tremor to the outcome of goal-directed pointing task by displacement measuresBarbara Pellegrini, Luca Faes, Giandomenico Nollo, et al.
Physical Review. E|January 20, 2018
Multiscale Granger causalityLuca Faes, Giandomenico Nollo, Sebastiano Stramaglia, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 17, 2013
A framework for assessing frequency domain causality in physiological time series with instantaneous effectsLuca Faes, Silvia Erla, Alberto Porta, et al.
IEEE Transactions on Bio-Medical Engineering|May 20, 2014
Lag-specific transfer entropy as a tool to assess cardiovascular and cardiorespiratory information transferLuca Faes, Daniele Marinazzo, Alessandro Montalto, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Parametric and nonparametric methods to generate time-varying surrogate dataHe Zhao, Luca Faes, Giandomenico Nollo, et al.
IEEE Transactions on Bio-Medical Engineering|March 11, 2009
Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variabilityLuca Faes, He Zhao, Ki H Chon, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic frameworkLuca Faes, Devy Widjaja, Sabine Van Huffel, et al.
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