Issue |
MATEC Web Conf.
Volume 135, 2017
8th International Conference on Mechanical and Manufacturing Engineering 2017 (ICME’17)
|
|
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Article Number | 00058 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/matecconf/201713500058 | |
Published online | 20 November 2017 |
Artefacts Removal of EEG Signals with Wavelet Denoising
1
Technical Implementation Unit for Instrumentation Development Indonesian Institute of Sciences, Bandung, Indonesia
2
Department of Informatics Engineering, Faculty of Industrial Technology, National Institute of Technology, Bandung, Indonesia
* Corresponding author: arjon.turnip@lipi.go.id
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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