Research on Adaptive Antagonism Method of ERP-BCI Under Parallel Task Interference
Huang Yihao1,2, Chen Yuqian1,2, Qi Hongzhi1,2*
1(Department of Biomedical Engineering, College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072,China) 2(Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China)
Abstract：ERP-BCI is a classic brain-computer interface paradigm, useing event-related potential (ERP) features to decode users thinking activities. Recent studies have found out that the decrease of ERP-BCI recognition rate induced by impacts of ERP features will happen if human brains control BCI simultaneously and perform other thinking activities. To explore solutions to this problem, this paper established an ERP-BCI interference antagonism method that applied dynamic stop criterion to adaptively adjust the stimulus repetition to maintain recognition performance. In the research, the working memory n-back task was used to construct the thinking interference task parallel to the ERP-BCI operation. The ERP data achieved from the task of no interference were used to establish the discriminant model and the dynamic stop algorithm which are employed in the operation of ERP-BCI online under different levels of the interference with dissimilar tasks. Ten subjects participated in the operation of ERP-BCI online. The experimental results showed that the proposed method of interference antagonism could obtain the character recognition rate without significant difference between interference and no interference (the average recognition rate reached 95%). This study provides a certain technical foundation for establishing highly robust ERP-BCI.
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