Research of removing artifacts in EEG based on ICA arithmetic

Jun, Y.; Guangfei, C.; Shilin, H.; Jun, Y; Guangfei, C; Shilin, H

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Research of removing artifacts in EEG based on ICA arithmetic

Jun, Y.; Guangfei, C.; Shilin, H.

Zhongguo Yi Liao Qi Xie Za Zhi 34(1): 12-15

2010

ISSN/ISBN: 1671-7104

PMID: 20391920

Document Number: 645719

This paper introduces the basic theory and arithmetic of Independent Component Analysis which is a novel technology developed for Blind Source Separation. The Fast ICA arithmetic is applied as an example in analysis and separation of artifacts in clinical multiple channel EEG. The experiment results testify that by using ICA method artifacts in EEG such as EOG and power line interference can be separated and removed effectively.