摘要
提出一种衡量相同步方法,用于提取与想象运动相关的脑电信号特征量,并用支持向量机作为分类器对意识任务进行分类.特征提取与分类结果证明了该方法的有效性.
A new method of measuring phase synchronization is presented for the feature extraction of event-related EEG recordings. The support vector machine is used for classification of the mental tasks. Then these methods are adopted for single trial feature extraction and classification of imaginary left and right hand movements. Results show that the methods are effective for recognition of mental tasks.
出处
《甘肃科学学报》
2006年第3期59-63,共5页
Journal of Gansu Sciences
基金
国家自然科学基金(10572056)
兰州理工大学优秀青年教师培养计划资助(Q200114)
关键词
脑-计算机接口
相同步
线性辨别式分析
支持向量机
brain computer interface
phase synchronization
linear discriminant analysis
support vector machine
