Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Construction of an Electrocardiogram Database Including 12 Lead Waveforms
por: Chung, Dahee, et al.
Publicado: (2018) -
Fetal electrocardiogram: ST waveform analysis in intrapartum surveillance
por: Amer-Wahlin, I, et al.
Publicado: (2007) -
Performance measurement of intraoperative systolic arterial pressure to predict in-hospital mortality in adult liver transplantation
por: Lee, Hyung-Chul, et al.
Publicado: (2017) -
Performance of the Hypotension Prediction Index with non-invasive arterial pressure waveforms in non-cardiac surgical patients
por: Maheshwari, Kamal, et al.
Publicado: (2020) -
Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform
por: Schmitzberger, Florian F., et al.
Publicado: (2022)