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

• Published in: Expert systems with applications Vol. 68; pp. 36 - 44
• Main Authors: Çinar, Salim, Acir, Nurettin
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.02.2017; Elsevier BV
• Subjects: Brain; Correlation coefficients; Criteria; Data analysis; Electroencephalogram (EEG); Electroencephalography; ElectroOculoGram (EOG); Eye movements; Human-computer interface; Independent component analysis; Measurement methods; Neurosciences; Ocular artefact; Outlier detection; Outliers (statistics); Studies; Test procedures; Ocular artefact; Outlier detection; Electroencephalogram (EEG); ElectroOculoGram (EOG); Independent component analysis

•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. ElectroEncephaloGram (EEG) gives information about the electrical characteristics o...