一个无校准的基于c-VEP的BCI,采用窄带随机序列
Li Zheng1, Yida Dong1,2, Sen Tian3
1Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, People's Republic of China.
Journal of neural engineering
|March 21, 2024
概括
这项研究引入了一种新的无校准脑计算机接口 (BCI),使用编码调制的视觉唤起潜力 (c-VEP) 和窄带随机序列. 新系统实现了与现有方法相比较的高性能,并显示了大规模应用的潜力.
科学领域:
- 神经科学和生物医学工程
- 大脑与计算机接口 (BCI)
- 信号处理 信号处理
背景情况:
- 基于编码调制的视觉唤起潜力 (c-VEP) 的BCI提供了高编码效率.
- 现有的c-VEP BCI通常需要长时间的校准,这限制了实际使用,特别是更多的目标.
- 需要实用,无校准的BCI系统,以实现更广泛的采用.
研究的目的:
- 引入和评估基于c-VEP的无校准BCI系统.
- 为了利用窄带随机序列进行信号编码.
- 评估系统的性能与传统的稳定状态视觉唤起潜力 (SSVEP) BCI相比.
主要方法:
- 开发了一个c-VEP编码方法,使用窄带随机序列调节的网格闪光.
- 采用过器银行法定相关性分析 (FBCCA) 用于使用原始序列模板进行无校准解码.
- 在35个受试者中,与SSVEP (8-15.8 Hz) 进行狭带随机序列 (15-25 Hz和8-16 Hz) 的性能比较.
主要成果:
- 离线分析证实了c-VEP和窄带随机序列之间的强烈相关性.
- 优化无校准系统 (NBRS-15) 实现了平均ITR为78.56位/分钟,与SSVEP相比.
- 模拟的1000目标BCI实现了102.1位/分钟的高平均ITR.
结论:
- 引入了一种新的,无校准的c-VEP BCI系统,使用窄带随机序列.
- 拟议的系统显示了高的信息传输率 (ITR) 和稳定性.
- 这种方法显示出开发大型目标和高性能BCI的巨大潜力.
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