Ma Zheng, Qiu Tianshuang
Department of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
Biomed Tech (Berl). 2018 Mar 28;63(2):105-112. doi: 10.1515/bmt-2016-0050.
When we examine the event-related potential (ERP) responses of Donchin's brain-computer interface (BCI) speller, a type of quasi-periodic fluctuation (FLUC) overlapping with the ERP components can be observed; this fluctuation is traditionally treated as interference. However, if the FLUC is detectable in a working BCI, it can be used for asynchronous control, i.e. to indicate whether the BCI is under the control state (CS) or under the non-control idle state (NC). Asynchronous control is an important issue to address to enable BCI's practical use. In this paper, we examine the characteristics of the FLUC and explore the possibility of using the FLUC for asynchronous control of the BCI. For detecting the FLUC, we propose a method based on the power spectrum and evaluate the detection rates in a simulation. As a result, high true positive rates (TPRs) and low false positive rates (FPRs) are obtained. Our work reveals that the FLUC is of great value for implementing an asynchronous BCI.
当我们检查唐钦脑机接口（BCI）拼写器的事件相关电位（ERP）响应时，可以观察到一种与ERP成分重叠的准周期性波动（FLUC）；这种波动传统上被视为干扰。然而，如果在工作的BCI中可以检测到FLUC，它可用于异步控制，即指示BCI是处于控制状态（CS）还是非控制空闲状态（NC）。异步控制是实现BCI实际应用需要解决的一个重要问题。在本文中，我们研究了FLUC的特征，并探索了将FLUC用于BCI异步控制的可能性。为了检测FLUC，我们提出了一种基于功率谱的方法，并在模拟中评估检测率。结果，获得了高真阳性率（TPR）和低假阳性率（FPR）。我们的工作表明，FLUC对于实现异步BCI具有重要价值。
