Automated estimation of sedation depth from the EEG

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:3188-91. doi: 10.1109/IEMBS.2007.4353007.

Abstract

A method is presented for the automatic determination of a patient's level of sedation from the EEG. Six bipolar channels of EEG recorded from 12 adult patients sedated with low-dose propofol (2, 6-disopropylphenol) were used to develop a linear discriminant based system for depth of sedation monitoring using a number of quantitative EEG measures. A cross fold validation estimate of the performance of the algorithm as a patient independent system yielded a sensitivity of 74.70% and a specificity of 81.67%. It is hoped that the methodology reported here could lead to fully automated systems for depth of sedation monitoring.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • 1-Propanol*
  • Adult
  • Algorithms
  • Anesthesia / methods
  • Artificial Intelligence
  • Brain / drug effects
  • Brain / physiopathology*
  • Discriminant Analysis
  • Drug Monitoring / methods*
  • Electroencephalography / drug effects*
  • Electroencephalography / methods*
  • Female
  • Humans
  • Hypnotics and Sedatives
  • Male
  • Pattern Recognition, Automated / methods
  • Unconsciousness / diagnosis*
  • Unconsciousness / physiopathology*

Substances

  • Hypnotics and Sedatives
  • 1-Propanol