journal article·2015-02Open access

The application study of wavelet packet transformation in the de-noising of dynamic EEG data

Yifeng Li, Lihui Zhang, Baohui Li, Xiaoyang Wei, Guiding Yan, Xichen Geng, Zhao Jin, Yan Xu, Haixia Wang, Xiaoyan Liu, Rong Lin, Quan Wang

Bio-Medical Materials and Engineering· Volume 26· Issue 1_suppl

Abstract

Abstract This paper briefly describes the basic principle of wavelet packet analysis, and on this basis introduces the general principle of wavelet packet transformation for signal den-noising. The dynamic EEG data under +Gz acceleration is made a de-noising treatment by using wavelet packet transformation, and the de-noising effects with different thresholds are made a comparison. The study verifies the validity and application value of wavelet packet threshold method for the de-noising of dynamic EEG data under +Gz acceleration.
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Research context

OpenAlex topics: Image and Signal Denoising Methods · Blind Source Separation Techniques · Advanced Algorithms and Applications

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Affiliations

Institute of Aviation Medicine, Air Force, Beijing 100142, China

References

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