Using the Hilbert-Huang transform to measure the electroencephalographic effect of propofol

Monitoring the effect of anesthetic drugs on the central nervous system is a major ongoing challenge in anesthesia research. A number of electroencephalogram (EEG)-based monitors of the anesthetic drug effect such as the bispectral (BIS) index have been proposed to analyze the EEG signal during anes...

Full description

Saved in:
Bibliographic Details
Published in:Physiological measurement 2012-02, Vol.33 (2), p.271-285
Main Authors: Shalbaf, R, Behnam, H, Sleigh, J W, Voss, L J
Format: Article
Language:English
Subjects:
Adolescent
Adult
Anesthesia
anesthetic drug effect
Anesthetics - pharmacokinetics
Anesthetics - pharmacology
electroencephalogram (EEG)
Electroencephalography - methods
Female
Hilbert-Huang transform (HHT)
Humans
Male
Models, Biological
pharmacokinetic-pharmacodynamic (PKPD) modeling (PKPD)
Probability
Propofol - pharmacokinetics
Propofol - pharmacology
Signal Processing, Computer-Assisted
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Monitoring the effect of anesthetic drugs on the central nervous system is a major ongoing challenge in anesthesia research. A number of electroencephalogram (EEG)-based monitors of the anesthetic drug effect such as the bispectral (BIS) index have been proposed to analyze the EEG signal during anesthesia. However, the BIS index has received some criticism. This paper offers a method based on the Hilbert-Huang transformation to calculate an index, called the Hilbert-Huang weighted regional frequency (HHWRF), to quantify the effect of propofol on brain activity. The HHWRF and BIS indices are applied to EEG signals collected from nine patients during a controlled propofol induction and emergence scheme. The results show that both the HHWRF and BIS track the gross changes in the EEG with increasing and decreasing anesthetic drug effect (the prediction probability Pk of 0.85 and 0.83 for HHWRF and BIS, respectively). Our new index can reflect the transition from unconsciousness to consciousness faster than the BIS, as indicated from the pharmacokinetic and pharmacodynamic modeled parameters and also from the analysis around the point of reawakening. This method could be used to design a new EEG monitoring system to estimate the propofol anesthetic drug effect.
ISSN:0967-3334
1361-6579
DOI:10.1088/0967-3334/33/2/271