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. © 2010 Springer-Verlag.
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CITATION STYLE
Wu, Z., Wang, J., Shen, D., & Bai, X. (2010). Denoising of event-related potential signal based on wavelet method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6330 LNBI, pp. 165–172). https://doi.org/10.1007/978-3-642-15615-1_20
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