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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
【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.
【Key words】 <Keyword>spatial complexity; field strength; brain computer interface;
- 【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