Luca Faes

Associate Professor

Associate Professor, Ingegneria

https://orcid.org/0000-0002-3271-5348

E-mailluca.faes@unipa.it

Fonte: Scopus
Calcolato sulla base del numero di pubblicazioni conservato in Pure e delle citazioni in Scopus

Risultati di ricerca per anno

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3366 Citazioni
33 Indice H
109 Article
52 Other
28 Conference contribution
7 Chapter
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A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks
Pernice, R., Faes, L., Popov, A., Kharytonov, V., Kotiuchyi, I., Popov, A. & Kotiuchyi, I., 2020, In: Brain Sciences. 10, pag. 1-23 23 pag.
Risultato della ricerca: Article › peer review
An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions
Faes, L., Bari, V., Rossato, G., Tonon, D., De Maria, B., Cairo, B., Barip, V. & Porta, A., 2020, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. pag. 2573-2576 4 pag. (IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS).
Risultato della ricerca: Conference contribution
Assessing complexity in physiological systems through biomedical signals analysis
Faes, L., Valenza, G. & Castiglioni, P., 2020, In: Entropy. 22, pag. 1005- 4 pag.
Risultato della ricerca: Review article › peer review
Causal and Non-Causal Frequency Domain Assessment of Spontaneous Baroreflex Sensitivity after Myocardial Infarction
Pernice, R., Faes, L. & Nollo, G., 2020, 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). pag. 1-2 2 pag.
Risultato della ricerca: Conference contribution
Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States
Faes, L., Pernice, R. & Nollo, G., 2020, 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). pag. 1-2 2 pag.
Risultato della ricerca: Conference contribution

1 Attivo

Stochastic forecasting in complex systems
Mantegna, R. N., Micciche', S. & Faes, L.
8/19/19 → 8/18/22
Progetto: Research project

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

An Empirical Mode Decomposition Approach to Assess the Strength of Heart Period-Systolic Arterial Pressure Variability Interactions

Assessing complexity in physiological systems through biomedical signals analysis

Causal and Non-Causal Frequency Domain Assessment of Spontaneous Baroreflex Sensitivity after Myocardial Infarction

Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States

Stochastic forecasting in complex systems