Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network

Background: We aimed to create a novel model using a deep learning method to estimate stroke volume variation (SVV), a widely used predictor of fluid responsiveness, from arterial blood pressure waveform (ABPW). Methods: In total, 557 patients and 8,512,564 SVV datasets were collected and were divid...

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Detalles Bibliográficos
Autores principales: Kwon, Hye-Mee, Seo, Woo-Young, Kim, Jae-Man, Shim, Woo-Hyun, Kim, Sung-Hoon, Hwang, Gyu-Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347322/
https://www.ncbi.nlm.nih.gov/pubmed/34372366
http://dx.doi.org/10.3390/s21155130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347322/
https://www.ncbi.nlm.nih.gov/pubmed/34372366
http://dx.doi.org/10.3390/s21155130

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