Study of recognition algorithm based on transient visual evoked potential

WU Hai-jing1; HE Qing-hua2; TIAN Feng-chun1

doi:10.13873/j.1000-97872012.04.026

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Study of recognition algorithm based on transient visual evoked potential

更新时间：2025-09-11

- Study of recognition algorithm based on transient visual evoked potential
- Vol. 31, Issue 4, Pages: 47-49(2012)
- 作者机构：
  
  1. 重庆大学通信工程学院
  2. 第三军医大学大坪医院野战外科研究所创伤烧伤与复合伤国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.04.026
  CLC： TP391.41
- Published：2012
- 稿件说明：
移动端阅览
[1]吴海静,何庆华,田逢春.基于瞬态视觉诱发电位的识别算法研究[J].传感器与微系统,2012,31(04):47-49.

WU Hai-jing1, HE Qing-hua2, TIAN Feng-chun1. Study of recognition algorithm based on transient visual evoked potential[J]. 2012, 31(4): 47-49.
[1]吴海静,何庆华,田逢春.基于瞬态视觉诱发电位的识别算法研究[J].传感器与微系统,2012,31(04):47-49. DOI： 10.13873/j.1000-97872012.04.026.

WU Hai-jing1, HE Qing-hua2, TIAN Feng-chun1. Study of recognition algorithm based on transient visual evoked potential[J]. 2012, 31(4): 47-49. DOI： 10.13873/j.1000-97872012.04.026.

摘要

基于瞬态视觉诱发电位的研究是脑机接口研究中的一种方法

其核心在于瞬态视觉诱发电位的识别算法研究。采用累加平均和小波分解滤波从强噪声背景下提取微弱的视觉诱发电位

采用主成分分析提取诱发电位的特征

用K近邻算法对得到的特征信号进行模式识别。采集三名受试者的脑电数据作为处理对象

识别准确率可以达到95%。实验结果表明:该方法可以比较准确地识别瞬态视觉诱发电位。

Abstract

The study based on transient visual evoked potentials is a kind of way to study brain-computer interface

and the key is the study on recognition algorithm of transient visual evoked potential.The accumulation averaging and wavelet filter method are used to extract VEP signal from the background full of noise.PCA are used to extract the feature of VEP signal.KNN is used to recognize the feature signal.The correct recognition rate reaches 95 % when EEG come from three people.The experimental results show that the method can recognize transient visual evoked potentials more correctly.

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references

基于FPGA的脑机接口实时系统 [J]. 王永,何庆华,田逢春,徐江,冯正权. 电子技术应用 . 2009(04)

浅谈脑—机接口的发展现状与挑战 [J]. 高上凯. 中国生物医学工程学报 . 2007(06)

基于小波和神经网络的视觉诱发电位识别方法 [J]. 何庆华,吴宝明,彭承琳,王禾,钟渝. 仪器仪表学报 . 2007(06)

基于视觉诱发电位的脑机接口实验研究 [J]. 何庆华,彭承琳,吴宝明,王禾. 生物医学工程学杂志 . 2004(01)

诱发电位检测信号处理技术进展 [J]. 吴宝明,廖维宏. 创伤外科杂志 . 2001(01)

小波分析理论与MATLAB R2007实现[M]. 电子工业出版社 , 葛哲学, 2007

模式识别[M]. 清华大学出版社 , 边肇祺等编著, 2000

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