Artifact Removal from EEG using Kurtosis Based Blind Source Extraction and Spatially Constrained Independent Component Analysis followed by Wavelet Denoising

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 4

Published

November 2015

Access

Open Access

Licence

CC BY-NC-SA 4.0

Vandana Roy Megha Gupta

this paper presents a novel technique for removing the artifacts from the Electro-Encephalo-Gram (EEG) signals. EEG signals are influenced by different characteristics, like line interference, EOG (Electro-Oculogram) and ECG (Electrocardiogram). The elimination of artifact from scalp EEGs is of substantial significance for both the automated and visual examination of underlying brainwave actions. These noise sources increase the difficulty in analyzing the EEG and obtaining clinical information related to pathology.

Vandana Roy, Megha Gupta (2015). Artifact Removal from EEG using Kurtosis Based Blind Source Extraction and Spatially Constrained Independent Component Analysis followed by Wavelet Denoising. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 4. ISSN: 2319-4863.

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