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基于小波变换的麻醉监测诱发脑电信号分析的研究 被引量:1
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作者 张烈平 莫玮 《昆明理工大学学报(理工版)》 2003年第3期97-100,共4页
采用小波变换方法对麻醉监测脑电信号进行分析, 通过基于小波变换系数的奇异值分解构造特征向量的特征提取方法提取麻醉状态下中潜伏期听觉诱发脑电的特征, 并用BP网络分类器对提取的特征进行聚类, 从而实现麻醉深度的估计, 实验仿真结... 采用小波变换方法对麻醉监测脑电信号进行分析, 通过基于小波变换系数的奇异值分解构造特征向量的特征提取方法提取麻醉状态下中潜伏期听觉诱发脑电的特征, 并用BP网络分类器对提取的特征进行聚类, 从而实现麻醉深度的估计, 实验仿真结果表明了该方法的有效性. 展开更多
关键词 小波变换 外科手术 中潜伏期诱发 听觉诱发 麻醉深度 麻醉监测 诱发脑电信号分析 奇异值分解 特征提取法 特征聚类 人工神经网络
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Time-Frequency Analysis of EEG Signals Evoked by Voluntary, Stimulated and Imaginary Motions
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作者 明东 李南南 +6 位作者 付安爽 徐瑞 邱爽 徐强 周鹏 张力新 万柏坤 《Transactions of Tianjin University》 EI CAS 2014年第3期210-214,共5页
In order to investigate the characteristics of sensorimotor cortex during motor execution(ME), voluntary, stimulated and imaginary finger flexions were performed by ten volunteer subjects. Electroencephalogram(EEG) da... In order to investigate the characteristics of sensorimotor cortex during motor execution(ME), voluntary, stimulated and imaginary finger flexions were performed by ten volunteer subjects. Electroencephalogram(EEG) data were recorded according to the modified 10-20 International EEG System. The patterns were compared by the analysis of the motion-evoked EEG signals focusing on the contralateral(C3) and ipsilateral(C4) channels for hemispheric differences. The EEG energy distributions at alpha(8—13 Hz), beta(14—30 Hz) and gamma(30—50 Hz) bands were computed by wavelet transform(WT) and compared by the analysis of variance(ANOVA). The timefrequency(TF) analysis indicated that there existed a contralateral dominance of alpha post-movement event-related synchronization(ERS) pattern during the voluntary task, and that the energy of alpha band increased in the ipsilateral area during the stimulated(median nerve of wrist) task. Besides, the contralateral alpha and beta event-related desynchronization(ERD) patterns were observed in both stimulated and imaginary tasks. Another significant difference was found in the mean power values of gamma band(p<0.01)between the imaginary and other tasks. The results show that significant hemispheric differences such as alpha and beta band EEG energy distributions and TF changing phenomena(ERS/ERD) were found between C3 and C4 areas during all of the three patterns. The largest energy distribution was always at the alpha band for each task. 展开更多
关键词 ELECTROENCEPHALOGRAM motor execution wavelet transform time-frequency analysis analysis of vari-ance event-related synchronization event-related desynchronization
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