Auditory P300 EEG Signal Processing

摘要：

　　In this paper,we study the feature extraction of auditory evoked EEG.For the auditory P300 signal,we first use band-pass filter to filter out the noise,then use the wavelet transform to extract eigenvectors,finally use the Fisher classifier to classify.The classification and recognition rate of auditory P300 signal data achieve the desired results.

关键词： wavelet transform wigner-ville transform auditory signal fisher classifier

作者: Li Zhao Xin Gao Yan-Zhen Ma Yong Sun

作者单位: Tianjin Key Laboratory of Information Sensing and Intelligent Control under School of Automation and Electronic Engineering Tianjin University of Technology and Education, Tianjin, China

会议类型: 国际会议

会议名称: 第16届机电一体化技术国际会议

会议地点: 天津

会议语种:英文

页码: 563-566

在线出版日期: 2012-10-16（万方平台首次上网日期，不代表论文的发表时间）