z-logo
open-access-imgOpen Access
Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models
Author(s) -
Kimia Kashkooli,
Sam L. Polk,
Eunice Hahm,
James M. Murphy,
Breanna Ethridge,
Jacob Gitlin,
Reine Ibala,
Jennifer Mekonnen,
Juan C. Pedemonte,
Haoqi Sun,
M. Brandon Westover,
Riccardo Barbieri,
Oluwaseun Akeju,
Shubham Chamadia
Publication year - 2020
Publication title -
journal of neural engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.594
H-Index - 111
eISSN - 1741-2560
pISSN - 1741-2552
DOI - 10.1088/1741-2552/ab98da
Subject(s) - sevoflurane , ketamine , anesthetic , anesthesia , anesthetic agent , medicine , electroencephalography , analgesic , computer science , psychiatry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom