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http://dx.doi.org/10.9718/JBER.2007.28.2.287

The Estimation of the Depth of Anesthetic Using Higher-Order Spectrum Analysis of EEG Signals  

Park, Jong-Duk (Dept. of Biomedical Engr., College of Medicine, Pusan National University)
Ye, Soo-Young (BK21 Medical Science Education Center, College of Medicine, Pusan National University)
Jeon, Gye-Rok (Dept. of Biomedical Engr., School of Medicine, Pusan National University)
Huh, Young (Korea Electrotechnology Research Institute)
Publication Information
Journal of Biomedical Engineering Research / v.28, no.2, 2007 , pp. 287-293 More about this Journal
Abstract
The researchers have studied for a long time about the depth of anesthesia but they don't make criteria for the depth of anesthesia. Anesthetists can't make a prediction about patient's reaction. Therefore, patients have potential risk such as poisonous side effect, late-awake, early-awake and strain reaction. In this study, the distributed characteristics on the bispectrum and bicoherence, the type of nonlinear signal processing, as a result of the coupling of EEG were presented according to depth of anesthesia. These results were consistent with a trend of delta ratio that the index of evaluation for the depth of anesthesia. The higher-order spectrum (HOS), the bispectrum and bicoherence, gives the useful information about depth of anaesthesia than other indexes.
Keywords
bispectrum; bicoherence; the depth of anesthesia; delta ratio; higher-order spectrum;
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