The Recognition of Visual Evoked Potential Based on Wavelet Transformation and BP Neural Network

摘要：

The brain evoked potentials (BEP) are related directly to series of diseases and physical states.It is helpful to prevent and diagnose the brain diseases by recognizing the evoked potential.In this paper,we use the traditional average method and the wavelet transformation technology to wipe off the noise and extract the feature for the instantaneous visual evoked potential(VEP)at first. Then we recognize the feature with BP neural network so as to produce the control signal for the brain computer interface (BCI). Experiments show that the wavelet transformation can remove the noise and extract the feature effectively and the BP neural network can recognize the VEP comparatively well and truly.The averaged recognition accuracy achieves 85％ which makes a base for the analysis and disposal of the evoked potential.

关键词： visual evoked potential feature recognition wavelet transformation BP network

作者: Lanlan Yu Tianxing Meng

作者单位: School of Electric and Electronic Engineering Shandong University of Technology Zibo, 255091, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 117-120

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）