IETE Journal of Research ( IF 1.5 ) Pub Date : 2020-09-13 , DOI: 10.1080/03772063.2020.1816221 Mohammad Ali Amirabadi 1 , Mohammad Hossein Kahaei 1
Nowadays, Brain Computer Interface has an important role in the life quality of paralyzed people. However, this technique is mainly affected by the quality of the recorded signal in each trial. This problem could be solved by rejecting low-quality trials. But developing the processing based on the recorded signal from the brain, which is a mixture of the target signal plus noise and artifact, would not be favourable in situations that all trials have low quality. This paper solves this problem by presenting a new fast algorithm for separating recorded source signals. Results indicate the improvement in classification accuracy of the proposed method compared with the well-known state of the art works.
中文翻译:
基于 EEG 的运动意象 BCI 分类的新快速方法
如今,脑机接口对瘫痪者的生活质量有着重要的作用。然而,这种技术主要受每次试验中记录信号质量的影响。这个问题可以通过拒绝低质量试验来解决。但是,根据大脑记录的信号(目标信号加上噪声和伪影的混合体)开发处理方法,在所有试验的质量都很低的情况下并不受欢迎。本文通过提出一种新的快速分离记录源信号的算法解决了这个问题。结果表明,与众所周知的现有技术相比,所提出方法的分类精度有所提高。