Artefacts Removal of EEG Signals with Wavelet Denoising

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Abstract

The recording of EEG signals often still contains many contaminants electrical signals that originate from non-cerebral origin such as ocular muscle activity called artefacts. The amplitude of artefacts can be quite large relative to the size of amplitude of the cortical signals of interest. In this paper, an application of wavelet denoising method for artefacts removal of EEG signals is proposed. The experiment result shows that contaminant artifact of EEG signals can significantly removed.

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APA

Turnip, A., & Pardede, J. (2017). Artefacts Removal of EEG Signals with Wavelet Denoising. In MATEC Web of Conferences (Vol. 135). EDP Sciences. https://doi.org/10.1051/matecconf/201713500058

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