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High-Frequency SSVEP Stimulation Paradigm Based On Dual Frequency Modulation*

机译:基于双频调制 * 的高频SSVEP刺激范例

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This study designed a brain-computer interface (BCI) with high frequency steady-state visual evoked potentials (SSVEPs) paradigm based on dual frequency modulation. The information transfer rates (ITR) of traditional low-frequency SSVEP-BCIs are high, but are very irritating to the human eye for long-term use. High-frequency stimulation can greatly improve the comfort of the system, but the communication rate of high-frequency systems is poor for the EEG response of high-frequency stimulation is weak. This study introduces a dual-frequency modulation method to improve the recognition accuracy of high-frequency BCI. Each target in the paradigm is composed of sinusoidal brightness modulated flicker light of the same initial phase with different stimulation frequencies in a space composition of the checkerboard. Using the above method, a relatively high-frequency SSVEP-BCI paradigm with a relatively complex code is proposed. Due to the complexity of the coding, only the training-based identification algorithm is used. With a data length of 0.5s, the average recognition accuracy is 91.02±7.77%, and ITR is 267.85±39.36bits/min. The performance is higher than the existing high frequency SSVEP-based BCI paradigms.
机译:本研究设计了一种基于双频调制的高频稳态视觉诱发电位(SSVEPS)范式的大脑 - 计算机接口(BCI)。传统低频SSVEP-BCIS的信息传输速率(ITR)高,但对人类眼睛非常刺激,长期使用。高频刺激可以大大提高系统的舒适性,但高频系统的通信率对于高频刺激的EEG响应较差。本研究介绍了一种提高高频BCI识别准确性的双频调制方法。范例中的每个目标由具有不同刺激频率的同一初始相的正弦亮度调制闪烁光,在棋盘的空间组成中。使用上述方法,提出了一种具有相对复杂的代码的相对高频的SSVEP-BCI范例。由于编码的复杂性,仅使用基于训练的识别算法。具有0.5s的数据长度,平均识别精度为91.02±7.77%,ITR为267.85±39.36位/分钟。性能高于现有的基于高频SSVEP的BCI范例。

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