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信号提取技术在脑机接口系统中的应用
引用本文:张韫 刘文艳 马宇晶. 信号提取技术在脑机接口系统中的应用[J]. 医疗设备信息, 2006, 21(11): 12-14,25
作者姓名:张韫 刘文艳 马宇晶
作者单位:首都医科大学,北京100069
摘    要:目的以SSVEP为实例探讨脑机接口系统中输出信号的提取方法。方法分别利用功率谱密度估计、独立分量分析和数字滤波器等技术提取脑电信号中的稳态视觉诱发电位,并对上述各种技术提取该信号的独到之处进行讨论。结果本文利用图示方式直观展示了三种信号处理技术在SSVEP提取中的特点。结论将三种信号处理技术用于脑机接口研制与开发的不同阶段,给特征信号的确认、分析和提取带来很大方便。

关 键 词:稳态视觉诱发电位 功率谱密度估计 独立分量分析 数字滤波器
文章编号:1007-7510(2006)11-0012-03
收稿时间:2006-04-24
修稿时间:2006-04-242006-09-14

Application of signal extracting technology in the brain- computer interface
ZHANG Yun, LIU Wen -yan, MA Yu - jing. Application of signal extracting technology in the brain- computer interface[J]. Information of Medical Equipment, 2006, 21(11): 12-14,25
Authors:ZHANG Yun   LIU Wen -yan   MA Yu - jing
Affiliation:Capital University of Medical Sciences, Beijing 100069, China
Abstract:AIM Discuss extracting technology of the characteristic signal in the brain- computer interface system using steady- state visual evoked potentials. METHOD We use the technologies of power spectral density, independent component analysis, and digital filter respectively to extract steady- state visual evoked potentials in the electroen-cephalography. RESULT The paper shows distinguishing features of extracting steady - state visual evoked potentials directly in the pictures. CONCLUTION Using three technologies in the different situation is benefit of recognizing, analyzing and extracting the characteristic signals.
Keywords:steady-state visual evoked potential  power spectral density   independent component analysis  digital filter
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