计算机科学 ›› 2020, Vol. 47 ›› Issue (4): 112-118.doi: 10.11896/jsjkx.190200342
所属专题： 医学图像
程时伟1, 陈一健1, 徐静如1, 张柳新2, 吴剑锋3, 孙凌云4
CHENG Shi-wei1, CHEN Yi-jian1, XU Jing-ru1, ZHANG Liu-xin2, WU Jian-feng3, SUN Ling-yun4
摘要： 为了提高基于眼电的眼动方向的识别准确性,文中利用包含眼电伪迹的脑电信号,提出了一种新的眼动方向分类方法。首先,在10-20国际标准导联配置下,通过脑电仪采集靠近人脑额叶处的AF7,F7,FT7,T7,AF8,F8,FT8,T8这8个通道的脑电信号;然后,通过基线移除、归一化、最小二乘法降噪等进行数据预处理;最后,采用支持向量机的方法进行眼动方向的多次二分类,并使用投票策略实现眼动方向的四分类识别。实验结果表明,所提方法进行眼动方向分类时,在上、下、左、右4个方向上的分类率分别达到了78.47%,72.22%,84.03%,79.86%,平均分类率达到了78.65%。与已有的分类方法相比,所提方法的分类准确率更高,分类算法的实现过程更简单,这进一步验证了利用脑电信号识别眼动方向的可行性和有效性。
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