Share Email Print
cover

Proceedings Paper

The EEG processing algorithm based on improved ICA
Author(s): Xian-bin Sun; Shao-jin Pang; Mei-qin Song
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top