Volume 31 Issue 10
Oct.  2005
Turn off MathJax
Article Contents
Mao Xia, Meng Qingyu. Method of EEG signals classification based on wavelet transform and neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(10): 1140-1144. (in Chinese)
Citation: Mao Xia, Meng Qingyu. Method of EEG signals classification based on wavelet transform and neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(10): 1140-1144. (in Chinese)

Method of EEG signals classification based on wavelet transform and neural networks

  • Received Date: 12 Nov 2004
  • Publish Date: 31 Oct 2005
  • Electroencephalography (EEG) signals of alcoholic subjects and control subjects were classified by combination of wavelet transforms and neural networks. Classification features were discovered through the EEG data analysis. The frequency bands of EEG signals including classification features were extracted by 1-D wavelet transforms. The decomposed coefficients of wavelet transforms were remained as signals characters to accomplish the length compression of data sequences. Three learning vector quantization (LVQ) networks with same structure corresponding to three kinds of stimulations were built for the predictive classification of the EEG signals. The final classification results were acquired by judge rules. The classification accuracy of experiment EEG signals reach 89%.

     

  • loading
  • [1] 刘晓欲, 蒋大宗, 黄远桂. 生物信号模式识别的方法及其在脑电中的应用进展[J] 北京生物医学工程, 1996, 15(3):188~193 Liu Xiaoyu, Jiang Dazong, Huang Yuangui. Biological signal pattern recognition method and application in EEG[J] Beijing Biomedical Engineering, 1996, 15(3):188~193 (in Chinese) [2] 林相波, 邱天爽. 基于EEG信号分析处理的癫痫预报及研究进展[J] 国外医学生物医学工程分册, 2004, 21(1):9~12 Lin Xiangbo, Qiu Tianshuang. EEG signal analysis and processing based prediction of epileptic seizures and research progress[J] Biomedical Engineering Foreign Medical Science, 2004, 21(1):9~12 (in Chinese) [3] 季 忠, 秦树人, 彭丽玲. 脑电信号的现代分析方法[J] 重庆大学学报, 2002, 25(9):108~111 Ji Zhong, Qin Shuren, Peng Liling. Signal processing of electroencephalogram and it’s application[J] Journal of Chong Qing University, 2002, 25(9):108~111 (in Chinese) [4] 袁 全, 刘兴华, 李大琛,等. 噪声和音乐对脑电功率谱的影响[J] 航天医学与医学工程, 2000, 13(6):401~404 Yuan Quan, Liu Xinghua, Li Dachen, et al. Effects of noise and music on EEG power spectrum[J] Space Medicine & Medical Engineering, 2000, 13(6):401~404(in Chinese) [5] 林高翔. 脑电功率谱分析和双波谱分析在麻醉深度监测中的应用[J] 华夏医学, 2001, 14(6):963~965 Lin Gaoxiang. The study of technique of electroencephalogram power spectrum and bispectral electroencephalogram analysis on the depth of anesthesia[J] Acta Medicinae Sinica, 2001, 14(6):963~965 (in Chinese) [6] Watt R C, Chris S, Ansel K, et al. Artificial neural networks facilitate bispectral analysis of electroencephalographic data[J] IEEE International Conference on Neural Networks, 1995, 5:2596~2599 [7] Mukherjee A, Karayiannis N B, Glover J R, et al. Evaluation of cosine radial basis function neural networks in detection of artifacts in neonatal EEG[J] Proceedings of the 25th Annual International Conference of the IEEE, 2003, 3:2954~2957 [8] Kim S B, Lee Y H, Kim J H, et al. Automatic detection of epileptiform activity using wavelet and expert rule base[J] Proceedings of the 20th Annual International Conference of the IEEE, 1998, 4:2078~2081 [9] Lester Ingber. Raw EEG data . http://www.ingber.com, 2004-07-28/2004-08-1 [10] 杨福生. 小波变换的工程分析与应用[M] 北京:科学出版社, 2001. 42~48 Yang Fusheng. Engineering analysis and application of wavelet transforms[M] Beijing:Science Press, 2001.42~48(in Chinese) [11] Martin T H, Howard B D, Mark H B. Neural network design[M] Stamford:Thomson Learning Company, 1996. 295~299
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3152) PDF downloads(17654) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return