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He Zhao
Luca Faes
Giandomenico Nollo
Ki H Chon

Showing results (1-10 of 1,204) with videos related to

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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.
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
Autonomic Neuroscience : Basic & Clinical|April 17, 2013
Measuring postural-related changes of spontaneous baroreflex sensitivity after repeated long-duration diving: frequency domain approachesLuca Faes, Michela Masè, Giandomenico Nollo, et al.
Biological Cybernetics|January 30, 2013
Measuring frequency domain granger causality for multiple blocks of interacting time seriesLuca Faes, Giandomenico Nollo
Biological Cybernetics|October 13, 2010
Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactionsLuca 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
Pageof 121

Showing results (1-10 of 1,204) with videos related to

Sort By:
Pageof 121
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.
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
Autonomic Neuroscience : Basic & Clinical|April 17, 2013
Measuring postural-related changes of spontaneous baroreflex sensitivity after repeated long-duration diving: frequency domain approachesLuca Faes, Michela Masè, Giandomenico Nollo, et al.
Biological Cybernetics|January 30, 2013
Measuring frequency domain granger causality for multiple blocks of interacting time seriesLuca Faes, Giandomenico Nollo
Biological Cybernetics|October 13, 2010
Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactionsLuca 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
Pageof 121