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• W2028116038 abstract "Electroencephalogram (EEG) is the activity of bioelectrical signals that recorded from electrodes on the scalp. In EEG recording, the signal obtained is not entirely derived from the brain, but may be contaminated by other signals such as Electrooculogram (EOG), Electrocardiogram (ECG) and Electromiogram (EMG). EEG signals that recorded, especially by electrodes located near the eyes, will be affected by EOG. So that necessary action is needed to eliminate or reduce these EEG signals artifacts. This paper proposed a method using ICA for EOG artifact removal and compared which ICA algorithm (JADE and SOBI) is more effective and has better results in the removal of EOG artifacts in EEG recording." @default.
• W2028116038 created "2016-06-24" @default.
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• W2028116038 date "2014-08-01" @default.
• W2028116038 modified "2023-09-23" @default.
• W2028116038 title "Removal of EOG artifacts: Comparison of ICA algorithm from recording EEG" @default.
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• W2028116038 doi "https://doi.org/10.1109/time-e.2014.7011642" @default.
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