Optimized Arterial Line Artifact Identification Algorithm Cleans High-Frequency Arterial Line Data With High Accuracy in Critically Ill Patients

High-frequency data streams of vital signs may be used to generate individualized hemodynamic targets for critically ill patients. Central to this precision medicine approach to resuscitation is our ability to screen these data streams for errors and artifacts. However, there is no consensus on the...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Jasmine M., Maslove, David M., Boyd, J. Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762921/
https://www.ncbi.nlm.nih.gov/pubmed/36567784
http://dx.doi.org/10.1097/CCE.0000000000000814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762921/
https://www.ncbi.nlm.nih.gov/pubmed/36567784
http://dx.doi.org/10.1097/CCE.0000000000000814

Ejemplares similares