期刊文献+

自由活动动物的脑电信号分析与识别 被引量:6

Brain-electrical Signal Analysis and Recognition of Freely Moving Animals
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摘要 通过脑电信息识别意识行为并控制外围设备运行的脑机接口(Brain-computer interface,BCI)技术研究已成为神经科学与信息工程技术交叉学科的热点课题,分析行为活动中的脑电特征是BCI研究中的一个重要内容。利用自制金属微电极通过多道生理信号采集处理系统采集大鼠脑电局部放电,提取出与特定行为(抓食)相关的脑电活动特征信号,为大脑对行为的控制研究提供了一个有效的方法。 Brain-computer interface focused on recognizing the features of cognition and generating command signals for the neuroprosthesis under the control of a computer has become the focal interdisciplinary research of neuroscience and information engineering technique. In the study of BCI, the significant requirement is to analyze the characteristic brain signals. So, we implanted a microelectrode made by ourselves into rat's brain primary movement (M1)and established a system to record the rat's brain local field potential, while the rat was freely moving and eating food. The operator extracted characteristic brain signals which were connected with behavior, and this system supplied a method to research how brain to control behavior.
出处 《山东科技大学学报(自然科学版)》 CAS 2007年第3期44-47,共4页 Journal of Shandong University of Science and Technology(Natural Science)
基金 山东省科技发展计划项目(041120101)
关键词 脑电信号 微电极 局部场电位 EEG microelectrode LFP
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参考文献6

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二级参考文献99

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共引文献84

同被引文献50

  • 1张仁龙,马文丽,姚文娟,郑文岭,梁斌.基于小波包变换对脑电信号的分析和处理[J].电子测量技术,2007,30(3):22-24. 被引量:3
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