Removal of Ocular Artifacts in the EEG through Wavelet Transform without using an EOG Reference Channel
نویسندگان
چکیده
This paper presents a statistical method for removing ocular artifacts in the electroencephalogram (EEG) records. Artifacts in EEG signals are caused by various factors, like line interference, EOG (electro-oculogram) and ECG (electrocardiogram). The removal of ocular artifact from scalp EEGs is of considerable importance for both the automated and visual analysis of underlying brainwave activity. These noise sources increase the difficulty in analyzing the EEG and obtaining clinical information. For this reason, it is necessary to design a procedure to decrease such artifacts in EEG records. In this paper, a statistical method for removing ocular artifacts from EEG recordings through wavelet transform without using an EOG reference channel is proposed.
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