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.
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Wu, Z., Wang, J., Shen, D., Bai, X. (2010). Denoising of Event-Related Potential Signal Based on Wavelet Method. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_20
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DOI: https://doi.org/10.1007/978-3-642-15615-1_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15614-4
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