摘要
主要研究脑-机接口的定义、基本构成、应用领域及其发展前景,以及提出并实现了1套完整可行的脑-机接口系统应用方案——基于稳态视觉诱发电位的脑-机接口控制系统设计与实现。系统搭建在LabVIEW平台上,利用LabVIEW的小波包信号分解和重构模块,实现对稳态视觉诱发电位的有效提取。系统的功能是利用脑电信号进行任务选择和对图标进行控制,从而实现利用脑电信号进行迷宫游戏。通过大量实验验证,系统的准确率达到73%以上,达到了设计控制系统的初衷。
Mainly studies the definition,basic composition,application fields and the development prospects of brain computer interface,and finally put forward a complete and feasible set of applications-a design and realization of brain computer interface controlling systems based on steady-state visual evoked potentials.The system based on LabVIEW platform,using the wavelet packet signal decomposition and reconstruction module,realizes effective extraction of steady-state visual evoked potentials.The function of the system is to achieve proper task selections and control of icons in a maze game using EEG signals.Verified by a lot of experiments,the accuracy rate of the system ups to 73% above and reaches to the original intention of the control system.
出处
《电子测量技术》
2011年第7期8-12,共5页
Electronic Measurement Technology
关键词
脑-机接口
稳态视觉诱发电位
LABVIEW
小波包变换
brain computer interface
steady-state visual evoked potentials
LabVIEW
wavelet packet transform