MATEC Web of Conferences (Jan 2017)

Artefacts Removal of EEG Signals with Wavelet Denoising

  • Turnip Arjon,
  • Pardede Jasman

DOI
https://doi.org/10.1051/matecconf/201713500058
Journal volume & issue
Vol. 135
p. 00058

Abstract

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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.