@inbook{115e1b0497b745869ad86158644eacf8,
title = "Automated estimation of sedation depth from the EEG",
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.",
author = "Greene, \{B. R.\} and P. Mahon and B. McNamara and Boylan, \{G. B.\} and G. Shorten",
year = "2007",
doi = "10.1109/IEMBS.2007.4353007",
language = "English",
isbn = "1424407885",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
pages = "3188--3191",
booktitle = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07",
note = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 ; Conference date: 23-08-2007 Through 26-08-2007",
}