Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential
Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential
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DOI：
10.1007/s12559-013-9202-7
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发表时间：
2013-02
影响因子：
5.4
通讯作者：
Bin Xia;Xing-cui Li;Hong Xie;Wenlu Yang;Jie Li;Lianghua He
中科院分区：
文献类型：
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作者：
Bin Xia;Xing-cui Li;Hong Xie;Wenlu Yang;Jie Li;Lianghua He
异步脑机接口（BCI）系统在实际应用中比同步脑机接口系统更具有实用性。异步BCI设计中的一个关键挑战是区分有意控制（IC）和无意控制（NC）状态。在本文中，我们提出了一个两阶段的异步协议的稳态视觉诱发电位为基础的脑机接口。首先，我们估计一个阈值，使用典型相关分析系数在同步模式下，然后，我们联合收割机它与滑动窗口策略，连续检测用户的心理状态。如果当前状态被判断为IC状态，则系统将输出命令。结果表明，该系统的平均阳性预测值为77.06%，NC状态和IC状态下的平均假阳性率分别为2.37%和12.05%。
Asynchronous brain–computer interface (BCI) systems are more practicable than synchronous ones in real-world applications. A key challenge in asynchronous BCI design is to discriminate intentional control (IC) and non-intentional control (NC) states. In this paper, we present a two-stage asynchronous protocol for a steady-state visual-evoked potential-based BCI. First, we estimate a threshold using canonical correlation analysis coefficients in synchronous mode; then, we combine it with a sliding window strategy to continuously detect the mental state of the user. If the current state is judged as an IC state, then the system will output command. Our results show that the average positive predictive value of the system is 77.06 % and that its average false-positive rate in the NC state and IC state are 2.37 and 12.05 %, respectively.