Mousavi, S.M and Adamo�lu, A and Demiralp, T and Shayesteh, M.G (2014) A wavelet transform based method to determine depth of anesthesia to prevent awareness during general anesthesia. Computational and Mathematical Methods in Medicine, 2014.
|
Text
354739.pdf Download (3MB) | Preview |
Abstract
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 usingMann-Whitney
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 2 |
| Subjects: | R Medicine > R Medicine (General) |
| Depositing User: | Unnamed user with email gholipour.s@umsu.ac.ir |
| Date Deposited: | 26 Jul 2017 09:33 |
| Last Modified: | 02 Jun 2019 07:21 |
| URI: | http://eprints.umsu.ac.ir/id/eprint/682 |
Actions (login required)
 |
View Item |
