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Luca Faes

Showing results (51-60 of 189) with videos related to

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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.
Plos Computational Biology|March 18, 2026
Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stressChiara Barà, Laura Sparacino, Luca Faes, et al.
Frontiers in Network Physiology|October 30, 2023
Editorial: Granger causality and information transfer in physiological systems: basic research and applicationsSonia Charleston-Villalobos, Michal Javorka, Luca Faes, et al.
Computational and Mathematical Methods in Medicine|September 20, 2012
Methodological advances in brain connectivityLuca Faes, Ralph G Andrzejak, Mingzhou Ding, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Instantaneous transfer entropy for the study of cardio-respiratory dynamicsGaetano Valenza, Luca Faes, Luca Citi, et al.
Bioengineering (Basel, Switzerland)|March 29, 2023
Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging TrendsGiovanni Chiarion, Laura Sparacino, Yuri Antonacci, et al.
Neuroimage|August 13, 2019
Information decomposition of multichannel EMG to map functional interactions in the distributed motor systemTjeerd W Boonstra, Luca Faes, Jennifer N Kerkman, et al.
Pageof 19

Showing results (51-60 of 189) with videos related to

Sort By:
Pageof 19
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.
Plos Computational Biology|March 18, 2026
Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stressChiara Barà, Laura Sparacino, Luca Faes, et al.
Frontiers in Network Physiology|October 30, 2023
Editorial: Granger causality and information transfer in physiological systems: basic research and applicationsSonia Charleston-Villalobos, Michal Javorka, Luca Faes, et al.
Computational and Mathematical Methods in Medicine|September 20, 2012
Methodological advances in brain connectivityLuca Faes, Ralph G Andrzejak, Mingzhou Ding, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Instantaneous transfer entropy for the study of cardio-respiratory dynamicsGaetano Valenza, Luca Faes, Luca Citi, et al.
Bioengineering (Basel, Switzerland)|March 29, 2023
Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging TrendsGiovanni Chiarion, Laura Sparacino, Yuri Antonacci, et al.
Neuroimage|August 13, 2019
Information decomposition of multichannel EMG to map functional interactions in the distributed motor systemTjeerd W Boonstra, Luca Faes, Jennifer N Kerkman, et al.
Pageof 19