An improved P300-based brain-computer interface
An improved P300-based brain-computer interface
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DOI：
10.1109/tnsre.2004.841878
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发表时间：
2005-03-01
影响因子：
4.9
通讯作者：
Inbar, GF
中科院分区：
文献类型：
--
作者：
Serby, H;Yom-Tov, E;Inbar, GF
脑机接口（BCI）是大脑和计算机之间直接通信的系统。这项工作中开发的 BCI 基于 Farwell 和 Donchin 在 1988 年描述的 BCI，它允许受试者传达 6 x 6 矩阵上呈现的 36 个符号之一。该系统利用；事件相关脑电位 (ERP) 的 P300 成分作为沟通媒介。处理方法使这部作品与Donchin 的作品有所区别。在这项工作中，使用独立分量分析 (ICA) 将 P300 源与背景噪声分开。匹配滤波器与平均和阈值技术一起使用来检测 P300 的存在。根据六名健康受试者记录的数据对处理方法进行离线评估。该方法实现了 5.45 个符号/分钟的通信速率，准确度为 92.1%，而 Donchin 的工作为 4.8 个符号/分钟，准确度为 90%。在线界面由同样的六名受试者进行了测试。所达到的平均通信速率为 4.5 个符号/分钟，准确度为 79.5%，而 Donchin 的工作为 4.8 个符号/分钟，准确度为 56%。与其他现有的 BCI 相比，所提出的 BCI 实现了出色的性能，并允许合理的通信速率，同时保持较低的错误率。
A brain-computer interface (BCI) is a system for direct communication between brain and computer. The BCI developed in this work is based on a BCI described by Farwell and Donchin in 1988, which allows a subject to communicate one of 36 symbols presented on a 6 x 6 matrix. The system exploits; the P300 component of event-related brain potentials (ERP) as a medium for communication. The processing methods distinguish this work from Donchin's work. In this work, independent component analysis (ICA) was used to separate the P300 source from the background noise. A matched filter was used together with averaging and threshold techniques for detecting the existence of P300s. The processing method was evaluated offline on data recorded from six healthy subjects. The method achieved a communication rate of 5.45 symbols/min With an accuracy of 92.1% compared to 4.8 symbols/min with an accuracy of 90% in Donchin's work. The online interface was tested with the same six subjects. The average communication rate achieved was 4.5 symbols/min with an accuracy of 79.5% as apposed to the 4.8 symbols/min with an accuracy of 56% in Donchin's work. The presented BCI achieves excellent performance compared to other existing BCIs, and allows a reasonable communication rate, while maintaining a low error rate.