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.
authors.affiliation: Department of Electrical & Electronic Engineering, University College Cork, Ireland. barryg@rennes.ucc.ie
authors.forename: B R
authors.initials: BR
authors.lastname: Greene
authors.forename: P
authors.initials: P
authors.lastname: Mahon
authors.forename: B
authors.initials: B
authors.lastname: McNamara
authors.forename: G B
authors.initials: GB
authors.lastname: Boylan
authors.forename: G
authors.initials: G
authors.lastname: Shorten
mesh_terms: D000433:1-Propanol; D000328:Adult; D000465:Algorithms; D000758:Anesthesia / Q000379:methods; D001185:Artificial Intelligence; D001921:Brain / Q000187:drug effects / Q000503:physiopathology*; D016002:Discriminant Analysis; D016903:Drug Monitoring / Q000379:methods*; D004569:Electroencephalography / Q000187:drug effects* / Q000379:methods*; D005260:Female; D006801:Humans; D006993:Hypnotics and Sedatives; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D014474:Unconsciousness / Q000175:diagnosis* / Q000503:physiopathology*
chemical_list: D006993:Hypnotics and Sedatives; D000433:1-Propanol