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

基金项目:

北京自然科学基金资助项目（3982006）

详细信息

Application of Wavelet Transform Technique in VEP Signal Extraction

1. College of Electronics Information & Control Engineering, Beijing Polytechnic University, Beijing 100022;
2. Department of Neural Internal Medicine, Beijing Friendship Hospital, Beijing 100050

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。
- 视觉诱发脑电信号VEP /
- 离散正交小波变换 /
- Mallat快速算法
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.
- VEP /
- Discrete orthogonal wavelet transform /
- Mallat algorithm