Denoising of Event-Related Potential Signal Based on Wavelet Method

摘要：

Event-Related brain Potentials (ERP) play an important role in psychology research. In most cases, the measured ERP signals are not clean, in order to extract useful information from ERP measured data, a denoising method is often required. In this paper, we present a denoising technique of ERP signal based on the wavelet transform (WT), which can decompose a signal into several scales that represent different frequency bands, allowing the representation of the temporal features of a signal at different resolutions. The denoising results revealed that the wavelet-based methods outperformed the digital filter in most cases.

关键词： Denoising Event-Related Potential Wavelet

作者: Zhen Wu Junsong Wang Deli Shen Xuejun Bai

作者单位: Tianjin University of Technology and Education, He-xi District, 300222 Tianjin, China Tsinghua University, Hai-dian District, 100084 Beinjing, China Tianjin Nomal University, He-xi District, 300074 Tianjin, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 165-172

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）