摘要
针对单通道脑电信号单次提取识别率较低的问题,提出了一种正交B样条小波变换与Fisher线性判别相结合的方法,提高了视觉诱发电位P300的单次提取识别率。首先采用相干平均和小波变换的方法对脑电信号进行预处理,然后根据脑电信号的时-频特性及视觉诱发电位的锁时关系,提取出表征P300的8维小波系数模板,再次利用模板对单次样本进行特征提取,最后根据Fisher线性判别对测试样本进行分类识别,判断单次输入是否为视觉诱发脑电信号。实验结果表明,该方法对单次样本P300的平均识别率为95.10%。
Aiming at the low recognition rate problem in single-trial feature extraction of P300,a method based on orthogonal B-spline wavelet transform and Fisher linear Discriminant（FLD） was proposed.First,a method of coherent averaging combined with wavelet transform is introduced to preprocess the trial,and according to the time-frequency characteristics and time-locked relationship in VEP,a 8-dimension wavelet coefficient template representing P300 is constructed;then the features of the trial are extracted using the template;finally,a Fisher linear classifier is designed,which determines whether a single input is visual evoked EEG or not.Experiment results demonstrate that the method based on orthogonal B-spline wavelet transform and FLD has a good average recognition rate as high as 90% for the P300 identification.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2012年第4期905-910,共6页
Chinese Journal of Scientific Instrument
基金
中央高校基本科研业务费专项资金领航创新基金(YWF-10-01-B25
YWF-11-02-139)
航空科学基础基金(2010ZC51033)资助项目
关键词
脑-机接口
视觉诱发电位
小波变换
FISHER线性判别
特征提取
brain computer interface（BCI）
visual evoked Potential（VEP）
wavelet transform
Fisher linear discriminant（FLD）
feature extraction
