毕业论文--基于稳态视觉诱发电位的脑-机接口系统的研制zc.doc

本科毕业设计(论文)
题目: 基于稳态视觉诱发电位的脑-机接口系统研制

学院: 信息学院
专业: 通信工程
年级: 2008 级
姓名: 钟超
学号: 0815232045
指导老师: 闫铮

定稿日期:
摘要
脑-机接口(puter interface, BCI)系统构建不依赖传统神经中枢-肌肉的通道,实现人与外界的交互,在多方面具有重要应用。适用于脑-机接口的脑电信号有多种,其中稳态视觉诱发电位具有特征鲜明,提取方便的特点,因此基于稳态视觉诱发电位(steady-state visual evoked potential, SSVEP)的脑-机接口系统较其它类型具有更高的信息传输速率。由于稳态视觉诱发电位是视觉刺激,因此,对于一些身体瘫痪严重的残疾人仍然适用。本课题拟使用固定频率调制的闪烁视觉刺激诱发稳态视觉诱发电位,通过记录脑电信号,提取视觉刺激中载有的频率特征,完成对于不同目标的选择任务。最后,本文将该BCI系统用于虚拟驾驶系统,验证了基于SSVEP的BCI系统具有应用前景。
关键词:脑-机接口,稳态视觉诱发电位,特征提取
The Brain - computer interface system developed based on Steady-state visual evoked potential
Abstract
By means of constructing a direct channel which is not depended on the normal output pathway like peripheral nerves to muscles, an novel interaction way between human and the outside world is realized by puter interface (BCI). Various of brain signals can be used in BCI system, among these signals, SSVEP, due to its distinctive characteristics and easy feature extraction, the SSVEP-based BCI always has a higher information transfer rate (ITR) compared with other BCI systems. Furthermore, as pattern of visual stimulation, SSVEP is also suitable for paralyzed persons. In this paper, SSVEP is induced by flicker stimuli which are modulated at a specific frequency. By analyzing the signals recorded and extracting SSVEP features, a BCI system including 2 targets is proposed in our paper. Moreover, a virtual vehicle driving system controlled by SSVEP-based BCI system is also demonstrated.
.Key words: puter interface, Steady-state visual evoked potential, Feature extraction
目录
第1章绪论 1
1
-机接口的结构 2
脑-机接口研究现状 4
课题安排 5
第2章脑-机接口系统背景知识 6
脑电波介绍 6
脑电与稳态视觉诱发电位 7
-机接口系统的采集方式 8
信号的预处理 9
信号的特征提取与分类算法 9
快速傅里叶变换 10
典型相关分析 10
开发平台 11
TCP/IP协议 12
第3章系统设计 13
稳态视觉诱发电位的选择 13
闪烁刺激源的选择 13
闪烁颜色选择 14
刺激频率的选择 14
系统的实现 14
系统框架 14
人机交互界面 15
频率实现方法 16
在线数据的处理算法 16