| 基于运动想象的脑电信号功率谱估计 |
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| 引用本文： | 赵丽,郭旭宏. 基于运动想象的脑电信号功率谱估计[J]. 电子测量技术, 2012, 35(6): 81-83,87 |
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| 作者姓名： | 赵丽 郭旭宏 |
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| 作者单位： | 天津职业技术师范大学自动化与电气工程学院 天津市信息传感与智能控制重点实验室 天津 300222 |
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| 基金项目： | 国家小973项目，校级预研项目 |
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| 摘 要： | 介绍了运动想象下产生的脑电信号的事件相关同步与去同步,功率谱估计下经典功率谱和现代功率谱的基本方法,重点分析了周期图法、平滑平均周期图法、AR模型Yule-Walker法3种功率谱估计的原理和特点,并在MATLAB中分别对运动想象产生的脑电信号进行处理,通过比较C3、C4通道在8～13Hz处的事件相关同步/去同步现象,总结各自优缺点,为脑机接口实际应用中的合理选择提供了理论依据。
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| 关 键 词： | 运动想象 脑电信号 功率谱估计 MATLAB |
EEG power spectrum estimation based on motor imagery |
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| Zhao Li , Guo Xuhong. EEG power spectrum estimation based on motor imagery[J]. Electronic Measurement Technology, 2012, 35(6): 81-83,87 |
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| Authors: | Zhao Li Guo Xuhong |
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| Affiliation: | Zhao Li Guo Xuhong (Tianjin Key Laboratory of Information Sensing and Intelligent Control Under School of Automation and Electronic Engineering,Tianjin University of Technology and Education,Tianjin 300222 ) |
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| Abstract: | This paper introduced the ERD/ERS phenomenon of EEG signal based on motor imagery, the basic method of modern power spectrum and classical power spectrum and analyzed the principles and characteristics of three kinds of power spectrum estimation like periodogram method,Welch method and Yule-Walker method. Processed EEG signals based on motor imagery with those methods, and simulated in MATLAB. Through compared the ERD/ERS phenomenon of C3.C4 channel in 8-13 Hz and summarized their advantages and disadvantages, provided a theoretical basis of reasonable choice for practical applications of brain-computer interface. |
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| Keywords: | motor imagery EEG signal power spectrum estimation MATLAB |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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