Frontal electroencephalogram analysis with ensemble empirical mode decomposition during the induction of general anesthesia
Tsai, Feng-Fang1,2,3; Hu, Xiyuan3,4; Lin, Yi-Shiuan1; Peng, Chung-Kang3,5; Fan, Shou-Zen1,2
2016-11-30
发表期刊Biomedical Physics & Engineering Express
期号2页码:065004
摘要
Background. Ensemble empiricalmode decomposition (EEMD) was proposed for decomposing electroencephalography (EEG) signals into intrinsic mode functions (IMFs), whichobtain instantaneous frequency data and work well with data that are nonstationary and nonlinear. Hilbert–Huang Transformation (HHT) was used in this study to convert IMFs into spectrograms, which are useful for observation.We recorded EEG signals through a bispectral index (BIS) monitor for EEMD analysis, and calculated the energy change after HHT. Methods. A total of 19 patients who had received general anesthesia were included. The EEG signals were recorded by physiologicalmonitor with BIS electrode strip and saved in a portal computer. The frequency changes of the IMFspectrograms were compared during the induction period, and the raw data
energy changes were quantified with moving window standard deviation every 10 s. Results. The second IMF, with an initial spectrum of approximately 10–30 Hz,was focused between 10 and 15
Hz after the patient was anesthetized. All patients presented with decreased frequency and bandwidth focusing in the second IMF and indicated energy gathering. Conclusions. We found energy gathering in IMF2 after patient was anesthetized. The results suggest that examining IMFs rather than EEG signals wasmore useful for determining the particular bandwidth changes in which synchronization phenomena occur. With this method, it is easily to observe the separate energy changes of IMFs within the EEG signals.
关键词Ensemble Empirical Mode Decomposition Frontal Electroencephalogram Hilbert–huang Transformation
DOI10.1088/2057-1976/2/6/065004
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19681
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Fan, Shou-Zen
作者单位1.Department of Anesthesiology, National Taiwan University Hospital
2.Department of Anesthesiology, College of Medicine, National Taiwan University
3.Rey Institute for Nonlinear Dynamics in Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School
4.Institute of Automation, Chinese Academy of Sciences
5.Center for Dynamical Biomarkers and Translational Medicine, National Central University
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Tsai, Feng-Fang,Hu, Xiyuan,Lin, Yi-Shiuan,et al. Frontal electroencephalogram analysis with ensemble empirical mode decomposition during the induction of general anesthesia[J]. Biomedical Physics & Engineering Express,2016(2):065004.
APA Tsai, Feng-Fang,Hu, Xiyuan,Lin, Yi-Shiuan,Peng, Chung-Kang,&Fan, Shou-Zen.(2016).Frontal electroencephalogram analysis with ensemble empirical mode decomposition during the induction of general anesthesia.Biomedical Physics & Engineering Express(2),065004.
MLA Tsai, Feng-Fang,et al."Frontal electroencephalogram analysis with ensemble empirical mode decomposition during the induction of general anesthesia".Biomedical Physics & Engineering Express .2(2016):065004.
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