The investigators will record 120 patients who received general anesthesia, their EEG data recorded from Bispectral Index (BIS) machine for emperical mode decomposition (EMD) analysis, the investigators decomposed EEG signal to different oscillations and tried to observe the differences between hypnotic medications through EEG analysis.
The electroencephalography (EEG) is a noninvasive medical technique for monitoring and recording the electrical activity of brain. The Hilbert-Huang transform (HHT) was proposed to decompose EEG signal into intrinsic mode functions (IMF) which can obtain instantaneous frequency data and work well for data that is nonstationary and nonlinear. The relationship between frontal EEG patterns and hypnotics remain poorly understood. The investigators only can tell the increase in frontal EEG power and shift power to lower frequencies during general anesthesia from publications. The investigators are going to decompose EEG with HHT and find the energy shift during general anesthesia, compare with different anesthetics. The investigators will record 120 patients who received general anesthesia, their EEG data recorded from BIS machine for EMD analysis, the investigators decomposed EEG signal to different oscillations and tried to observe the differences between hypnotic medications through EEG analysis.
Study Type
OBSERVATIONAL
Enrollment
268
National Taiwan University Hospital
Taipei, Taiwan
The gamma, beta, alpha and theta power of EEG
We will try to observe the differences between hypnotic medications through EEG decomposed and power analysis.
Time frame: the total duration inclusions in operation room
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