dc.contributor.author |
Shalbaf, R |
en |
dc.contributor.author |
Behnam, H |
en |
dc.contributor.author |
Sleigh, James |
en |
dc.contributor.author |
Voss, LJ |
en |
dc.coverage.spatial |
England |
en |
dc.date.accessioned |
2017-03-02T23:50:55Z |
en |
dc.date.available |
2011-12-06 |
en |
dc.date.issued |
2012-01-25 |
en |
dc.identifier.citation |
Physiological Measurement, 25 January 2012, 33 (2), 271 - 285 |
en |
dc.identifier.issn |
0967-3334 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/32036 |
en |
dc.description.abstract |
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 P(k) 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. |
en |
dc.description.uri |
https://www.ncbi.nlm.nih.gov/pubmed/22273803 |
en |
dc.language |
English |
en |
dc.publisher |
IOP Publishing |
en |
dc.relation.ispartofseries |
Physiological Measurement |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0967-3334/
http://iopscience.iop.org/info/page/openaccess |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Adolescent |
en |
dc.subject |
Adult |
en |
dc.subject |
Anesthetics |
en |
dc.subject |
Electroencephalography |
en |
dc.subject |
Female |
en |
dc.subject |
Humans |
en |
dc.subject |
Male |
en |
dc.subject |
Models, Biological |
en |
dc.subject |
Probability |
en |
dc.subject |
Propofol |
en |
dc.subject |
Signal Processing, Computer-Assisted |
en |
dc.subject |
Young Adult |
en |
dc.title |
Using the Hilbert-Huang transform to measure the electroencephalographic effect of propofol |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1088/0967-3334/33/2/271 |
en |
pubs.issue |
2 |
en |
pubs.begin-page |
271 |
en |
pubs.volume |
33 |
en |
dc.description.version |
VoR - Version of Record |
en |
dc.identifier.pmid |
22273803 |
en |
pubs.author-url |
http://iopscience.iop.org/article/10.1088/0967-3334/33/2/271 |
en |
pubs.end-page |
285 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
286078 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
School of Medicine |
en |
pubs.org-id |
Anaesthesiology |
en |
dc.identifier.eissn |
1361-6579 |
en |
pubs.record-created-at-source-date |
2017-03-03 |
en |
pubs.dimensions-id |
22273803 |
en |