A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis

作者：

Highlights：

• A novel robust approach (OD-ICA), to remove OAs automatically.

• There is no need for an EOG reference signal.

• OD-ICA is successful in preserving the meaningful EEG signals.

• In OD-ICA, user intervention is not needed.

摘要

•A novel robust approach (OD-ICA), to remove OAs automatically.•There is no need for an EOG reference signal.•OD-ICA is successful in preserving the meaningful EEG signals.•In OD-ICA, user intervention is not needed.

论文关键词：Independent component analysis,Outlier detection,Ocular artefact,Electroencephalogram (EEG),ElectroOculoGram (EOG)

论文评审过程：Received 8 June 2016, Revised 1 September 2016, Accepted 4 October 2016, Available online 8 October 2016, Version of Record 17 October 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.009