title: [Methods of extracting AEP for monitoring the anesthetic depth].
abstract: Many researches have proved that auditory evoked potentials (AEP) can indicate the depth of anesthesia in the clinical practice. This paper introduces two methods of extracting AEP: the moving time average (MTA) model and the autoregressive model with exogenous input (ARX). In our study we used both the MTA model and the ARX model to extract AEP and the results show that using the ARX model can get the results significantly faster than using the MTA model, and the ARX model is more suitable for the real-time monitoring of the anesthetic depth.
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093. fuying1020@sina.com
authors.forename: Fu-Ying
authors.initials: FY
authors.lastname: Tian
authors.forename: Jian-Wei
authors.initials: JW
authors.lastname: Le
authors.forename: Qun
authors.initials: Q
authors.lastname: Wang
mesh_terms: D000758:Anesthesia / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D005072:Evoked Potentials, Auditory / Q000502:physiology; D006801:Humans; D016343:Monitoring, Intraoperative / Q000379:methods*; D012815:Signal Processing, Computer-Assisted