Decoding of responses to mixed frequency and phase coded visual stimuli using multiset canonical correlation analysis
Decoding of responses to mixed frequency and phase coded visual stimuli using multiset canonical correlation analysis
复制标题
使用多集典型相关分析对混合频率和相位编码视觉刺激的响应进行解码
DOI：
10.1109/embc.2016.7590992
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
K. Suefusa and T. Tanaka
中科院分区：
文献类型：
--
作者：
Haruki Okawa;Kaori Suefusa;and Toshihisa Tanaka;K. Suefusa and T. Tanaka;Kaori Suefusa and Toshihisa Tanaka;K. Suefusa and T. Tanaka
基于稳态视觉诱发电位（SSVEP）的脑机接口（BCI）具有识别准确率高、用户培训少等优点，是目前最实用的脑机接口之一。混合频率和相位编码，可以实现多个命令，并实现高的信息传输速率（ITR），最近得到了广泛的关注。为了实现混合编码的SSVEP-BCI作为一个可靠的接口，重要的是检测命令的快速和准确。本文提出了一种新的方法来识别混合编码的SSVEP，实现高性能。该方法采用多集典型相关分析，以获得空间滤波器，增强SSVEP组件。通过一个混合编码的SSVEP-BCI系统进行实验，与已有的工作进行比较，以评估所提出的方法的性能。实验结果表明，该方法取得了显着更高的命令识别精度和ITR比国家的最先进的。
Brain-computer interfacing (BCI) based on steady-state visual evoked potentials (SSVEPs) is one of the most practical BCIs because of its high recognition accuracies and little training of a user. Mixed frequency and phase coding which can implement a number of commands and achieve a high information transfer rate (ITR) has recently been gaining much attention. In order to implement mixed-coded SSVEP-BCI as a reliable interface, it is important to detect commands fast and accurately. This paper presents a novel method to recognize mixed-coded SSVEPs which achieves high performance. The method employs multiset canonical correlation analysis to obtain spatial filters which enhance SSVEP components. An experiment with a mixed-coded SSVEP-BCI was conducted to evaluate performance of the proposed method compared with the previous work. The experimental results showed that the proposed method achieved significantly higher command recognition accuracy and ITR than the state-of-the-art.