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A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain–Computer Interface

机译:基于色瞬态视觉诱发电位的脑机接口编码/解码方法

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This paper presents a new encoding/decoding approach to brain–computer interface (BCI) based on chromatic transient visual evoked potential (CTVEP). The proposed CTVEP-based encoding/decoding approach is designed to provide a safer and more comfortable stimulation method than the conventional VEP-based stimulation methods for BCI without loss of efficiency. For this purpose, low-frequency isoluminant chromatic stimuli are time-encoded to serve as different input commands for BCI control, and the superior comfortableness of the proposed stimulation method is validated by a survey. A combination of diversified signal processing techniques are further employed to decode the information from CTVEP. Based on experimental results, a properly designed configuration of the CTVEP-based stimulation method and a tailored signal processing framework are developed. It is demonstrated that high performance (at information transfer rate: 58.0 bits/min, accuracy: 94.9%, false alarm rate: 1.3%) for BCI can be achieved by means of the CTVEP-based encoding/decoding approach. It turns out that to achieve such good performance, only simple signal processing algorithms with very low computational complexity are required, which makes the method suitable for the development of a practical BCI system. A preliminary prototype of such a system has been implemented with demonstrated applicability.
机译:本文提出了一种基于色瞬态视觉诱发电位(CTVEP)的脑机接口(BCI)的新编码/解码方法。提出的基于CTVEP的编码/解码方法旨在提供比传统的基于VEP的BCI刺激方法更安全,更舒适的刺激方法,而不会降低效率。为此,对低频等光源色刺激进行时间编码,以用作BCI控制的不同输入命令,并且通过调查验证了所提出刺激方法的优越舒适性。进一步采用多种信号处理技术的组合来解码来自CTVEP的信息。基于实验结果,开发了基于CTVEP的刺激方法的正确设计配置和量身定制的信号处理框架。结果表明,通过基于CTVEP的编码/解码方法,可以实现BCI的高性能(信息传输速率:58.0位/分钟,准确度:94.9%,误报率:1.3%)。事实证明,要获得如此好的性能,仅需要具有非常低的计算复杂度的简单信号处理算法,这使得该方法适合于实际BCI系统的开发。这种系统的初步原型已被证明具有适用性。

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