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基于脑机接口竞赛脑电数据集的运动想象识别影响因素分析 被引量:3

Influencing Factors Analysis in Motor Imagery Recognition Based on Brain Computer Interfacing Competition Electroencephalogram Databases
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摘要 针对两个常用的脑机接口(brain computer interfacing,BCI)竞赛运动想象任务脑电数据集——2003Ⅲ和2005Ⅲa,分类识别率差异较大的问题,结合运动想象脑电信号的生理基础,从信号噪声、受试者反应程度和C3、C4通道信号能量差异三个方面对两个数据集的数据进行了分析比较。结果表明:与2005Ⅲa数据集相比,2003Ⅲ数据集信噪比较高,受试者对运动想象任务的反应更明显,并且C3C4通道的信号能量差异趋势更标准,解释了对2003Ⅲ数据集的识别率普遍高于2005Ⅲa数据集这一现象,说明这三个因素是影响识别率的主要因素。研究为运动想象脑电数据有效性分析以及提高基于脑电的运动想象识别率提供了新的思路。 To solve the big difference in classification accuracy between two commonly used brain computer Interfacing(BCI)competition motor imagery databases,2003 III and 2005 IIIa and combining with the physiological basis of motor imagery electroencephalogram(EEG)signals,the data in two databases was analyzed from three aspects of signal noise,subject response degree and signal energy difference between channel C3 and channel C4.The analysis results show that,the 2003 III database has a higher signal-to-noise ratio,comparing with the 2005 IIIa database.The subjects respond more significantly to the motor imagery task,and the signal energy difference trend between channel C3 and channel C4 is more standard.The study results explain that the recognition rate of the 2003 III database is higher than that of the 2005 IIIa database,indicating that these three factors are the main factors influencing the recognition rate.The research provides a new idea for analyzing the validity of electroencephalogram,data and improving the recognition rate of motor imagery EEG.
作者 王雪娇阳 王连明 WANG Xue-jiao-yang;WANG Lian-ming(School of Physics,Northeast Normal University,Changchun 130024,China;School of Marine Science and Technology,Hainan Tropical Ocean University,Sanya 572022,China)
出处 《科学技术与工程》 北大核心 2020年第6期2369-2375,共7页 Science Technology and Engineering
基金 吉林省科技发展计划(20170204035GX,20170204050GX)。
关键词 运动想象 脑电数据集 信号噪声 反应程度 能量差异 motor imagery electroencephalogram database signal noise response degree energy difference
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