Showing results (31-40 of 486) with videos related to
Sort By:
Pageof 49
Chaos (Woodbury, N.Y.)|January 3, 2020
Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological statesLuca Faes, Manuel Gómez-Extremera, Riccardo Pernice, 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.American Journal of Physiology. Heart and Circulatory Physiology|August 16, 2002
Evidence of unbalanced regulatory mechanism of heart rate and systolic pressure after acute myocardial infarctionGiandomenico Nollo, Luca Faes, Alberto Porta, et al.Entropy (Basel, Switzerland)|December 8, 2020
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological NetworksYuri Antonacci, Laura Astolfi, Giandomenico Nollo, 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.Physiological Measurement|March 1, 2017
Cerebrovascular and cardiovascular variability interactions investigated through conditional joint transfer entropy in subjects prone to postural syncopeVlasta Bari, Beatrice De Maria, Claudio Enrico Mazzucco, 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.Pageof 49