Publicações

Decomposing the Mutual Information Rate of Physiological Time Series to Assess Higher Order Cardiovascular And Respiratory Interactions During Postural Stress

AuthID
P-01A-V4H

Author(s)

Pinto, H

Antonacci, Y

Javorka, M

Faes, L

Rocha, AP

Editor(es)

Golubitsky,,M;Boccaletti,,S;Pinto,,CMA

Tipo de Documento

Proceedings Paper

Year published

2025

Publicado

in Springer Proceedings in Mathematics and Statistics, ISSN: 2194-1009

Volume: 507 PROMS, Páginas: 87-103

Conference

International Conference on Mathematical Analysis and Applications in Science and Engineering, Icmasc 2024, Date: 2024-06-20 through 2024-06-22, Location: Porto

Indexing

Scopus^®

Crossref^®

Unpaywall^®

Google Scholar^®

Publication Identifiers

DOI: 10.1007/978-3-031-97950-7_6

SCOPUS: 2-s2.0-105027224366

Unpaywall: 10.1007/978-3-031-97950-7_6

Source Identifiers

ISSN: 2194-1009

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Decomposing the Mutual Information Rate of Physiological Time Series to Assess Higher Order Cardiovascular And Respiratory Interactions During Postural Stress

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Decomposing the Mutual Information Rate of Physiological Time Series to Assess Higher Order Cardiovascular And Respiratory Interactions During Postural Stress

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