Denoising of event-related potential signal based on wavelet method

Authors:
Zhen Wu;Junsong Wang;Deli Shen;Xuejun Bai
Affiliations:
Tianjin University of Technology and Education, Tianjin, China;Tsinghua University, Beinjing, China;Tianjin Nomal University, Tianjin, China;Tianjin Nomal University, Tianjin, China
Venue:
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Year:
2010

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Abstract

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.