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A Wavelet Transform Based Method to Determine Depth of Anesthesia to Prevent Awareness during General Anesthesia
Joint Authors
Mousavi, Seyed Mortaza
Adamoğlu, Ahmet
Demiralp, Tamer
Shayesteh, Mahrokh G.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Awareness during general anesthesia for its serious psychological effects on patients and some juristically problems for anesthetists has been an important challenge during past decades.
Monitoring depth of anesthesia is a fundamental solution to this problem.
The induction of anesthesia alters frequency and mean of amplitudes of the electroencephalogram (EEG), and its phase couplings.
We analyzed EEG changes for phase coupling between delta and alpha subbands using a new algorithm for depth of general anesthesia measurement based on complex wavelet transform (CWT) in patients anesthetized by Propofol.
Entropy and histogram of modulated signals were calculated by taking bispectral index (BIS) values as reference.
Entropies corresponding to different BIS intervals using Mann-Whitney U test showed that they had different continuous distributions.
The results demonstrated that there is a phase coupling between 3 and 4 Hz in delta and 8-9 Hz in alpha subbands and these changes are shown better at the channel T 7 of EEG.
Moreover, when BIS values increase, the entropy value of modulated signal also increases and vice versa.
In addition, measuring phase coupling between delta and alpha subbands of EEG signals through continuous CWT analysis reveals the depth of anesthesia level.
As a result, awareness during anesthesia can be prevented.
American Psychological Association (APA)
Mousavi, Seyed Mortaza& Adamoğlu, Ahmet& Demiralp, Tamer& Shayesteh, Mahrokh G.. 2014. A Wavelet Transform Based Method to Determine Depth of Anesthesia to Prevent Awareness during General Anesthesia. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1016784
Modern Language Association (MLA)
Mousavi, Seyed Mortaza…[et al.]. A Wavelet Transform Based Method to Determine Depth of Anesthesia to Prevent Awareness during General Anesthesia. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1016784
American Medical Association (AMA)
Mousavi, Seyed Mortaza& Adamoğlu, Ahmet& Demiralp, Tamer& Shayesteh, Mahrokh G.. A Wavelet Transform Based Method to Determine Depth of Anesthesia to Prevent Awareness during General Anesthesia. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1016784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016784