DocumentCode :
1340762
Title :
A system for tracking changes in the mid-latency evoked potential during anesthesia
Author :
Hansson, Maria ; Gansler, Tomas ; Salomonsson, Göran
Author_Institution :
Dept. of Appl. Electron., Lund Univ., Sweden
Volume :
45
Issue :
3
fYear :
1998
fDate :
3/1/1998 12:00:00 AM
Firstpage :
323
Lastpage :
334
Abstract :
Describes a method to measure changes in the mid-latency auditory evoked potential (MLAEP) during anesthesia. It is claimed that the position of the Nb-trough of the MLAEP indicates the level of consciousness. The component shows graded changes corresponding to the dose of anesthetic and it exhibits stable reproducible properties between different subjects. The authors propose a system that reduces the disturbances in an averaged MLAEP using fewer realizations than in the standard averaging procedure. The resulting smoothing error is reduced if the number of stimulus is decreased. Unfortunately, the variance of the waveform estimate is, thereby, increased. An improved method must be used in order to estimate the Nb-trough within a prescribed time interval of one minute. The procedure is based on inherent properties of the MLAEP and the noise. A simulation and examples of the performance on real data recorded during surgery are shown.
Keywords :
auditory evoked potentials; least mean squares methods; medical signal processing; surgery; 1 min; anesthesia; anesthetic dose; consciousness level; electrodiagnostics; midlatency auditory evoked potential changes tracking; smoothing error; stable reproducible properties; waveform estimate variance; Anesthesia; Anesthetic drugs; Biomedical measurements; Central nervous system; Delay; Medical services; Neuromuscular; Signal processing; Smoothing methods; Surgery; Algorithms; Anesthesia; Anesthetics; Consciousness; Dose-Response Relationship, Drug; Electrodes; Electroencephalography; Evoked Potentials, Auditory; Female; Humans; Least-Squares Analysis; Models, Biological; Monitoring, Intraoperative; Reaction Time; Reproducibility of Results; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.661157
Filename :
661157
Link To Document :
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