徐宁寿, 张建华, 曹正才, 潘映辐, 铁艳梅. 小波变换在视觉诱发脑电信号提取中的应用──提取视觉诱发脑电信号的新方法之三[J]. 北京工业大学学报, 2000, 26(4): 9-14.
    引用本文: 徐宁寿, 张建华, 曹正才, 潘映辐, 铁艳梅. 小波变换在视觉诱发脑电信号提取中的应用──提取视觉诱发脑电信号的新方法之三[J]. 北京工业大学学报, 2000, 26(4): 9-14.
    Xu Ningshou, Zhang Jianhua, Cao Zhengcai, Pan Yingfu, Tie Yanmei. Application of Wavelet Transform Technique in VEP Signal Extraction[J]. Journal of Beijing University of Technology, 2000, 26(4): 9-14.
    Citation: Xu Ningshou, Zhang Jianhua, Cao Zhengcai, Pan Yingfu, Tie Yanmei. Application of Wavelet Transform Technique in VEP Signal Extraction[J]. Journal of Beijing University of Technology, 2000, 26(4): 9-14.

    小波变换在视觉诱发脑电信号提取中的应用──提取视觉诱发脑电信号的新方法之三

    Application of Wavelet Transform Technique in VEP Signal Extraction

    • 摘要: 利用数据序列分解与重构的Mallat快速算法导出了可用于视觉诱发脑电(VEP)信号提取的小波去噪算法,并在大量提取VEP的仿真研究的基础上进行了;临床实际应用实验.数字仿真和临床应用结果均表明,用小波变换方法可以在大幅减少视觉刺激次数的前提下识别VEP的潜伏期P100

       

      Abstract: Procedure for extracting the VEP (Visual Evoked Potential) signal via the well-known Mallat algorithm in the realm of wavelet analysis is derives in this paper. Based on extensive simulations onthe VEP extraction, a real clinical application has been performed. Numerical simulation and clinical application results have shown that the wavelet transform technique can accurately identify the latency of the VEP by using a significantly reduced number of visual stimulation.

       

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