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基于多通道脑电特征运动意识任务的分类

Classification of the Mental Tasks Based on Multichannel Electroencephalogram Features

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【作者】 裴晓梅郑崇勋宾光宇

【Author】 Pei Xiaomei,Zheng Chongxun,Bin Guangyu(Key Laboratory of Biomedical Information Engineering of Education Ministry, Xian Jiaotong University, Xian 710049, China)

【机构】 西安交通大学生物医学信息工程教育部重点实验室西安交通大学生物医学信息工程教育部重点实验室 710049西安710049西安710049西安

【摘要】 提出利用多通道脑电(EEG)相关性信息作为特征,实现对想象左右手运动两种意识任务的分类.分析了两种意识任务下描述多通道EEG相关性的两个参数空间复杂度和有效场强的变化,发现想象任务开始时,对侧脑区空间复杂度增高,有效场强降低,而同侧脑区的变化恰好相反,较好地反映了想象左右手运动时大脑两侧运动皮层状态的不同.将两种特征联合用于分类,得到了满意的结果,从而为脑-计算机接口系统中意识任务的特征提取与分类提供了新思路.

【Abstract】 Multichannel electroencephalogram (EEG) correlation features are extracted to classify left and right hand motor imagery tasks. The time courses of spatial complexity Ω and field strength are analyzed respectively as two imagery tasks are performed. It is demonstrated that at the onset of imagination,Ω calculated by multichannel EEG from the contralateral and mid-central region rises while the corresponding lowers. The opposite changes occur with Ω and from the ipsilateral and mid-central region. Thus, the difference of brain states in two hemispheres during left or right hand motor imagery is well represented. The features Ω and are combined to discriminate left and right hand motor imagery tasks and satisfactory results are obtained, which can be expected to provide a new way for the classification of mental tasks in brain computer interface.

【基金】 国家自然科学基金资助项目(30370395).
  • 【文献出处】 西安交通大学学报 ,Journal of Xi’an Jiaotong University , 编辑部邮箱 ,2005年08期
  • 【分类号】R318
  • 【被引频次】19
  • 【下载频次】307
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