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Proceedings Paper

The EEG processing algorithm based on improved ICA
Author(s): Xian-bin Sun; Shao-jin Pang; Mei-qin Song
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Paper Abstract

EEG signals contain rich information on brain activity, reflect the electrical activity of brain tissue and brain functional state. By studying the EEG, which help a lot for disease diagnosis and clinical research. Yet the popular algorithm for EEG analysis requires further improvement in effect. Regarding this problem, this paper introduced a improved Independent Components Analysis(ICA) to EEG processing, and a novel method is proposed. The step and feature of the algorithm proposed is described in detail. Finally the simulation experiment demonstrates the effectiveness of the algorithm.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784N (19 July 2013); doi: 10.1117/12.2031780
Show Author Affiliations
Xian-bin Sun, Qingdao Technological Univ. (China)
Shao-jin Pang, Qingdao Technological Univ. (China)
Mei-qin Song, Qingdao Sinto Machinery Co., Ltd. (China)

Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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