A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis
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- 作者：Salim Ç ; ınara ; scinar@nigde.edu.tr" class="auth_mail" title="E-mail the corresponding author ; salimcinar83@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Nurettin Acırb
- 关键词：Independent component analysis ; Outlier detection ; Ocular artefact ; Electroencephalogram (EEG) ; ElectroOculoGram (EOG)
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：68
- 期：Complete
- 页码：36-44
- 全文大小：11272 K
文摘
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A novel robust approach (OD-ICA), to remove OAs automatically.
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There is no need for an EOG reference signal.
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OD-ICA is successful in preserving the meaningful EEG signals.
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In OD-ICA, user intervention is not needed.