Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study

To develop deep learning models for predicting Interoperative hypotension (IOH) using waveforms from arterial blood pressure (ABP), electrocardiogram (ECG), and electroencephalogram (EEG), and to determine whether combination ABP with EEG or CG improves model performance. Data were retrieved from Vi...

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Detalles Bibliográficos
Autores principales: Jo, Yong-Yeon, Jang, Jong-Hwan, Kwon, Joon-myoung, Lee, Hyung-Chul, Jung, Chul-Woo, Byun, Seonjeong, Jeong, Han‐Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362925/
https://www.ncbi.nlm.nih.gov/pubmed/35944013
http://dx.doi.org/10.1371/journal.pone.0272055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362925/
https://www.ncbi.nlm.nih.gov/pubmed/35944013
http://dx.doi.org/10.1371/journal.pone.0272055

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