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  • 标题:Artefacts Removal of EEG Signals with Wavelet Denoising
  • 本地全文:下载
  • 作者:Arjon Turnip ; Jasman Pardede
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:135
  • 页码:1-10
  • DOI:10.1051/matecconf/201713500058
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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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