The EEG processing algorithm based on improved ICA

Xian-bin Sun; Shao-jin Pang; Mei-qin Song

doi:10.1117/12.2031780

19 July 2013 The EEG processing algorithm based on improved ICA

Xian-bin Sun, Shao-jin Pang, Mei-qin Song

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88784N (2013) https://doi.org/10.1117/12.2031780
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Xian-bin Sun, Shao-jin Pang, and Mei-qin Song "The EEG processing algorithm based on improved ICA", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784N (19 July 2013); https://doi.org/10.1117/12.2031780

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