Algorithm Research & Explore
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2328-2331,2337

Incremental updating algorithm for CSP filter based on training sample evaluation

Han Zhenyu
Liu Jin
Wu Xiaopei
College of Computer Science & Technology, Anhui University, Hefei 230039, China

Abstract

Electro encephalog ram(EEG) can reflect the thinking activity of the brain under different conditions, therefore, motor imagery recognition based on EEG has become a new research hot spot. To reduce the influence of low-quality samples on the session-to-session transfer performance of CSP filter models and improve the recognition accuracy ratio, this paper proposed an incremental updating algorithm for CSP filter based on training sample evaluation. It used sample selection method to evaluate the quality of EEG data. Then it removed a set of training data corresponding to low recognition rate. Finally, it updated the CSP filter incrementally which designed by the optimized sample. In label environment, the motor imagery recognition of EEG signals reaches average accuracy of 80.92%. Compared with the traditional CSP method, the average recognition rate of the five subjects' testing sets increases by 5.4%, 5.6%, 1.5%, 8.6%, and 7.7%, respectively. The experimental results verify the effectiveness of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(61271352)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0074
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2328-2331,2337
Serial Number: 1001-3695(2019)08-018-2328-04

Publish History

[2019-08-05] Printed Article

Cite This Article

韩震宇, 刘锦, 吴小培. 基于训练样本评估的CSP滤波器增量更新方法 [J]. 计算机应用研究, 2019, 36 (8): 2328-2331,2337. (Han Zhenyu, Liu Jin, Wu Xiaopei. Incremental updating algorithm for CSP filter based on training sample evaluation [J]. Application Research of Computers, 2019, 36 (8): 2328-2331,2337. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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