Abstract：A single trial extraction method of eventrelated potential (ERP) was proposed. In this wavelet and Kalman smoother based method, wavelet transform was first applied to the averaged ERP to investigate its timefrequency characteristics. According to the time position of different components of ERP, the specific wavelet coefficients of single trial ERP on different scales were chosen to construct the measurement vector, which was filtered by Kalman smoother in the next step. Eventually, the disposed coefficients were reconstructed and the single trial ERP signal was obtained. The simulation experiments showed that the wavelet and Kalman smoother based method improved SNR about 16-18dB, and was better than 30 trial ensemble averaging method and the simple wavelet method. The proposed method could also track the ERP amplitude trendlike variability. The real dataset experiment showed that the method preferably extracted the ERP signal concealed in the ongoing background EEG and habituation or sensitization could explain the trend like variability.
牟锴钰 韦明* 郭建平. 基于小波和卡尔曼平滑的事件相关电位单次提取[J]. 中国生物医学工程学报, 2012, 31(2): 167-174.
MU Kai Yu WEI Ming* GUO Jian Ping. Single Trial Event Related Potential Extraction Based on Wavelet and Kalman Smoother Method. journal1, 2012, 31(2): 167-174.
