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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
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一个基于EEG-EOG信号的可穿戴异步大脑计算机接口,频道较少.

Li Hu, Junbiao Zhu, Sicong Chen

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    |August 24, 2023
    PubMed
    概括

    本研究介绍了一种实用,可穿戴的脑电脑接口 (BCI),使用脑电图 (EEG) 放大器. 该系统在现实世界的BCI应用中实现了高精度.

    科学领域:

    • 神经科学是一个神经科学.
    • 生物医学工程 生物医学工程
    • 人与计算机的交互

    背景情况:

    • 大脑-计算机接口 (BCI) 在通信,控制和康复方面提供了巨大的潜力.
    • 当前的BCI系统往往是繁的,昂贵的,需要广泛的设置.
    • 需要实用,用户友好的BCI解决方案,适合现实世界使用.

    研究的目的:

    • 开发一个实用和用户友好的BCI系统,保持高性能.
    • 为BCI应用程序创建一个紧且易于部署的可穿戴式脑电图 (EEG) 放大器.

    主要方法:

    • 一个混合异步BCI系统是使用一个紧的,可穿戴的EEG放大器设计的.
    • 该系统处理三通道EEG信号以检测P300电位.
    • 通过整合眼检测来实现异步操作.

    主要成果:

    • 可穿戴的EEG放大器提供高质量的EEG信号,具有预处理能力.
    • 该BCI系统的平均精度为94.03±4.65%.
    • 性能指标包括31.42±7.39比特/分钟的平均信息传输速率 (ITR) 和1.78%的假阳性率 (FPR).

    结论:

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    • 开发的可穿戴EEG放大器和BCI系统是可行的和实用的.
    • 带有减少通道数量的可穿戴异步BCI是可行的.
    • 这一进步有助于BCI应用从实验室环境转移到现实环境.