フォロー
Laura Sparacino
Laura Sparacino
Ph.D., Department of Engineering, University of Palermo
確認したメール アドレス: unipa.it
タイトル
引用先
引用先
Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin
Bioengineering 10 (3), 372, 2023
972023
A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes
L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, ...
IEEE Transactions on Signal Processing 70, 5766-5777, 2022
432022
Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls
R Pernice, L Sparacino, V Bari, F Gelpi, B Cairo, G Mijatovic, Y Antonacci, ...
Autonomic Neuroscience 242, 103021, 2022
172022
Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions
C Barà, L Sparacino, R Pernice, Y Antonacci, A Porta, D Kugiumtzis, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (3), 2023
142023
Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction
R Pernice, L Sparacino, G Nollo, S Stivala, A Busacca, L Faes
Biomedical Signal Processing and Control 68, 102680, 2021
132021
A framework for the time-and frequency-domain assessment of high-order interactions in brain and physiological networks
L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, ...
arXiv preprint arXiv:2202.04179, 2022
102022
Statistical approaches to identify pairwise and high-order brain functional connectivity signatures on a single-subject basis
L Sparacino, L Faes, G Mijatović, G Parla, V Lo Re, R Miraglia, ...
Life 13 (10), 2075, 2023
92023
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks
L Sparacino, Y Antonacci, G Mijatovic, L Faes
Neurocomputing, 129675, 2025
82025
Rehabilitation modulates high-order interactions among large-scale brain networks in subacute stroke
I Pirovano, Y Antonacci, A Mastropietro, C Bara, L Sparacino, E Guanziroli, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 4549-4560, 2023
82023
Assessing high-order links in cardiovascular and respiratory networks via static and dynamic information measures
G Mijatovic, L Sparacino, Y Antonacci, M Javorka, D Marinazzo, ...
IEEE Open Journal of Engineering in Medicine and Biology, 2024
72024
Gradients of O-information highlight synergy and redundancy in physiological applications
T Scagliarini, L Sparacino, L Faes, D Marinazzo, S Stramaglia
Frontiers in Network Physiology 3, 1335808, 2024
62024
A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography
G Volpes, L Sparacino, S Valenti, A Parisi, A Busacca, L Faes, R Pernice
2022 IEEE international symposium on medical measurements and applications …, 2022
62022
A method to assess granger causality, isolation and autonomy in the time and frequency domains: theory and application to cerebrovascular variability
L Sparacino, Y Antonacci, C Barà, A Valenti, A Porta, L Faes
IEEE Transactions on Biomedical Engineering 71 (5), 1454-1465, 2023
52023
Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress
C Barà, R Pernice, L Sparacino, Y Antonacci, M Javorka, L Faes
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 926-931, 2022
52022
Causal and non-causal frequency domain assessment of spontaneous baroreflex sensitivity after myocardial infarction
L Sparacino, R Pernice, G Nollo, L Faes
2020 11th Conference of the European Study Group on Cardiovascular …, 2020
52020
A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance
L Sparacino, Y Antonacci, C Barà, D Švec, M Javorka, L Faes
Frontiers in Network Physiology 4, 1346424, 2024
42024
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach
L Sparacino, Y Antonacci, D Marinazzo, S Stramaglia, L Faes
International Conference on Complex Networks and Their Applications, 301-309, 2022
32022
Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Linear Parametric Analysis
R Pernice, L Sparacino, C Barà, Y Antonacci, L Faes
2022 12th Conference of the European Study Group on Cardiovascular …, 2022
32022
Quantifying High-Order Interactions in Cardiovascular and Cerebrovascular Networks
L Faes, G Mijatovic, L Sparacino, R Pernice, Y Antonacci, A Porta, ...
2022 12th Conference of the European Study Group on Cardiovascular …, 2022
32022
Assessing high-order interdependencies through static o-information measures computed on resting state fmri intrinsic component networks
S Valenti, L Sparacino, R Pernice, D Marinazzo, H Almgren, A Comelli, ...
International Conference on Image Analysis and Processing, 386-397, 2022
32022
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