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左右手运动意识任务的分类 被引量:1

Classification between Left and Right Hand Motor Imagery Tasks
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摘要 本研究提出了利用事件相关ERD/ERS和相同步提取脑电运动意识任务特征,应用Fisher线性判别式分析法,对想象左右手运动任务进行了分类,并获得了满意的效果。对被试者想象左右手运动过程中,记录的脑电信号采用了能量分析法量化了事件相关去同步ERD和事件相关同步ERS时程,同时提取了相位信息。最后对测试数据进行分类,最大正确分类率达到了83.20%,与用多通道AR模型提取特征方法相比,效果更好,从而为大脑运动意识任务的分类提供了新思路。 he paper proposed the method extracting brain motor consciousness feature by event-related desynchronization /synchronization(ERD/ERS) potential and phase synchronization.Applying Fisher linear discriminant analysis to distinguish the left and fight hand motor imagery tasks,he satisfied result was obtained. ERD/ERS time course was quantified by energy analysis,and simultaneously extracted phase information. Finally, the test data were analyzed and then indicated that the method was effective and it might provide a new way for the classification of mental tasks.
出处 《微计算机信息》 北大核心 2006年第12S期237-239,共3页 Control & Automation
关键词 事件相关同步 事件相关去同步 相同步 event-related desynchronization,synchronization,phase synchronization
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参考文献6

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二级参考文献1

  • 1Yunqiang Chen, Xiang Zhou, and Thomas S. Huang,"one-class SVM for learning in image retrieval",In Proc. IEEE Int' l Conf. on Image Processing 2001, Thessaloniki, Greece

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