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Laura Sparacino

Showing results (1-10 of 22) with videos related to

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IEEE Transactions on Bio-Medical Engineering|May 16, 2025
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological NetworksLuca Faes, Gorana Mijatovic, Laura Sparacino, 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|January 24, 2024
Gradients of O-information highlight synergy and redundancy in physiological applicationsTomas Scagliarini, Laura Sparacino, Luca Faes, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating High-Order Interactions among Physiological Variables using Predictability and Information-Theoretic MeasuresChiara Bara, Yuri Antonacci, Laura Sparacino, et al.
Frontiers in Network Physiology|April 19, 2024
A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial complianceLaura Sparacino, Yuri Antonacci, Chiara Barà, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating The Effect Of Systolic And Diastolic Arterial Pressures On Mean Pressure Through Partial Information DecompositionLaura Sparacino, Riccardo Pernice, Chiara Bara, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject BasisLaura Sparacino, Martina Valentino, Yuri Antonacci, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information DecompositionLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.
IEEE Transactions on Bio-Medical Engineering|December 6, 2023
A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular VariabilityLaura Sparacino, Yuri Antonacci, Chiara Bara, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

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Pageof 3
IEEE Transactions on Bio-Medical Engineering|May 16, 2025
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological NetworksLuca Faes, Gorana Mijatovic, Laura Sparacino, 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|January 24, 2024
Gradients of O-information highlight synergy and redundancy in physiological applicationsTomas Scagliarini, Laura Sparacino, Luca Faes, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating High-Order Interactions among Physiological Variables using Predictability and Information-Theoretic MeasuresChiara Bara, Yuri Antonacci, Laura Sparacino, et al.
Frontiers in Network Physiology|April 19, 2024
A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial complianceLaura Sparacino, Yuri Antonacci, Chiara Barà, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating The Effect Of Systolic And Diastolic Arterial Pressures On Mean Pressure Through Partial Information DecompositionLaura Sparacino, Riccardo Pernice, Chiara Bara, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject BasisLaura Sparacino, Martina Valentino, Yuri Antonacci, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information DecompositionLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.
IEEE Transactions on Bio-Medical Engineering|December 6, 2023
A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular VariabilityLaura Sparacino, Yuri Antonacci, Chiara Bara, et al.
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