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

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

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

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

Correspondence: [*] Address for correspondence: Yifeng Li, Institute of Aviation Medicine, Air Force, Beijing 100142, China. Tel.: 010-66927152; E-mail: [email protected].

Keywords: Wavelet packet, EEG, threshold, de-noising

DOI: 10.3233/BME-151403

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1067-S1075, 2015

Published: 2015
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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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