Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models

OBJECTIVE. The ability to monitor anesthetic states using automated approaches is expected to reduce inaccurate drug dosing and side-effects. Commercially available anesthetic state monitors perform poorly when ketamine is administered as an anesthetic-analgesic adjunct. Poor performance is likely b...

Full description

Saved in:
Bibliographic Details
Published in:J Neural Eng
Main Authors: Kashkooli, Kimia, Polk, Sam L, Hahm, Eunice Y, Murphy, James, Ethridge, Breanna R, Gitlin, Jacob, Ibala, Reine, Mekonnen, Jennifer, Pedemonte, Juan C, Sun, Haoqi, Westover, M Brandon, Barbieri, Riccardo, Akeju, Oluwaseun, Chamadia, Shubham
Format: Artigo
Language:Inglês
Published: 2020
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7540939/
https://ncbi.nlm.nih.gov/pubmed/32485685
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/ab98da
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items