Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Laura Sparacino"'
Publikováno v:
Frontiers in Network Physiology, Vol 4 (2024)
The concept of self-predictability plays a key role for the analysis of the self-driven dynamics of physiological processes displaying richness of oscillatory rhythms. While time domain measures of self-predictability, as well as time-varying and loc
Externí odkaz:
https://doaj.org/article/6b3f820f037a48d58ffb0c19effeea38
Publikováno v:
Frontiers in Network Physiology, Vol 3 (2024)
The study of high order dependencies in complex systems has recently led to the introduction of statistical synergy, a novel quantity corresponding to a form of emergence in which patterns at large scales are not traceable from lower scales. As a con
Externí odkaz:
https://doaj.org/article/bb0dd89121514b70b898e15f6b2b07df
Autor:
Laura Sparacino, Luca Faes, Gorana Mijatović, Giuseppe Parla, Vincenzina Lo Re, Roberto Miraglia, Jean de Ville de Goyet, Gianvincenzo Sparacia
Publikováno v:
Life, Vol 13, Iss 10, p 2075 (2023)
Keeping up with the shift towards personalized neuroscience essentially requires the derivation of meaningful insights from individual brain signal recordings by analyzing the descriptive indexes of physio-pathological states through statistical meth
Externí odkaz:
https://doaj.org/article/49183c743b5243b6a48a5080892e1422
Publikováno v:
Bioengineering, Vol 10, Iss 3, p 372 (2023)
Understanding how different areas of the human brain communicate with each other is a crucial issue in neuroscience. The concepts of structural, functional and effective connectivity have been widely exploited to describe the human connectome, consis
Externí odkaz:
https://doaj.org/article/040b73e91947401eb1f23ca89e972c93
Autor:
Chiara Barà, Laura Sparacino, Riccardo Pernice, Yuri Antonacci, Alberto Porta, Dimitris Kugiumtzis, Luca Faes
This work presents a comparison between different approaches for the model-free estimation of information-theoretic measures of the dynamic coupling between short realizations of random processes. The measures considered are the mutual information ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eabfed752f0a6cf6ff2498abfd040fca
https://hdl.handle.net/10447/585455
https://hdl.handle.net/10447/585455
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211263
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d90bab834d3a9497950aae3e321a27d
https://doi.org/10.1007/978-3-031-21127-0_25
https://doi.org/10.1007/978-3-031-21127-0_25
Autor:
Luca Faes, Gorana Mijatovic, Laura Sparacino, Riccardo Pernice, Yuri Antonacci, Alberto Porta, Sebastiano Stramaglia
Publikováno v:
2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
We present a method to analyze the dynamics of physiological networks beyond the framework of pairwise interactions. Our method defines the so-called O-information rate (OIR) as a measure of the higher-order interaction among several physiological va
Publikováno v:
2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
Arterial compliance is an important parameter influencing ventricular-arterial coupling, depending on structural and functional mechanics of arteries. In this study, the spontaneous beat-to-beat variability of arterial compliance was investigated in
Autor:
Riccardo Pernice, Ivan Lazic, Chiara Bara, Laura Sparacino, Gorana Mijatovic, Tatjana Loncar-Turukalo, Luca Faes
Publikováno v:
2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
In this work, nonlinear model-free methods for bivariate time series analysis have been applied to study cardiorespiratory interactions. Specifically, entropy-based (i.e. Transfer Entropy and Cross Entropy) and Convergent Cross Mapping asymmetric cou
Autor:
Gabriele Volpes, Laura Sparacino, Simone Valenti, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice
Publikováno v:
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
Nowadays, the ever-growing interest to health and quality of life of individuals and the advancements in electronic devices technology are pushing the development of portable and wearable biomedical devices able to pursue a minimally invasive monitor