脑-计算机接口通信载波信号的单次提取  

Single Extraction of Carrying Signal for Brain-Computer Interface

作　　者：田彬[1] 陈亚光[1] 江小平[1] 

机构地区：[1]中南民族大学,武汉430074

出　　处：《计算机与数字工程》2011年第4期39-43,105,共6页Computer & Digital Engineering

摘　　要：为了改进脑-计算机接口通信的速率,根据模拟人类自然阅读诱发模式实验数据中,噪声和信息的统计特征随时间分段变化的特点,对RLS算法进行改进,提出分段遗忘因子RLS算法。一系列的仿真和对实际实验数据的处理表明,运用我们的方法使得单次实验提取事件相关脑电位成为可能,使脑-计算机接口的通信速率得到提高。The statistics of experimental data of imitating-natural-reading evoking mode is variable with time.For this reason,a subsection change forgetting factor RLS algorithm is proposed to extract the carrier signals from a record with the background EEG noises.Results from a series of experiments show that,single trial extraction of ERP could be realized by these processing methods,and the transfer rates of BCI would be improved.

关 键 词：模拟自然阅读 事件相关脑电位 可变遗忘因子RLS算法 分段遗忘因子RLS算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]