电子学报2017，Vol.45Issue(7)：1660-1667,8.DOI:10.3969/j.issn.0372-2112.2017.07.016
基于矩阵灰建模的单次P300检测新方法
A New Single Trial P300 Classification Method Based on Matrix Grey Modeling
摘要
Abstract
Aiming at the drawback of low identification accuracy in single trial P300 feature extraction and classification,a parameter model method based on Matrix Grey Modeling to extract P300 feature was proposed to improve the recognition accuracy of the visual evoked potential P300 in single trial classification.Firstly,EEG signal was preprocessed,and then channel set selection was applied.After that,the model parameters of Matrix Grey Modelling for each epoch was connected as the feature vector and were input to the SVM classifier.The experimental results show that the average accuracy of single trial P300 across all the subjects is 91.43%,and the accuracy can be up to 97.87% if 3 times averaging is used.关键词
P300特征提取/矩阵灰建模/单次识别Key words
P300 feature extraction/matrix grey modeling/single trial identification分类
信息技术与安全科学引用本文复制引用
谢松云,张娟丽,段绪,刘畅,李亚兵..基于矩阵灰建模的单次P300检测新方法[J].电子学报,2017,45(7):1660-1667,8.基金项目
国家自然科学基金(No.61273250) （No.61273250）
陕西省科技攻关项目(No.2015GY003) （No.2015GY003）
校研究生创业种子基金(No.Z2015112) （No.Z2015112）
