Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic systolic pressure (aSBP), cardiac output (CO), and en...

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Detalles Bibliográficos
Autores principales: Bikia, Vasiliki, Papaioannou, Theodore G., Pagoulatou, Stamatia, Rovas, Georgios, Oikonomou, Evangelos, Siasos, Gerasimos, Tousoulis, Dimitris, Stergiopulos, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490416/
https://www.ncbi.nlm.nih.gov/pubmed/32929108
http://dx.doi.org/10.1038/s41598-020-72147-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490416/
https://www.ncbi.nlm.nih.gov/pubmed/32929108
http://dx.doi.org/10.1038/s41598-020-72147-8

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