脑磁图
脑-机接口
软件可移植性
计算机科学
闪烁
脑电图
接口(物质)
可视化
用户友好型
视觉诱发电位
计算机视觉
语音识别
人工智能
人机交互
神经科学
计算机图形学(图像)
心理学
气泡
最大气泡压力法
并行计算
程序设计语言
操作系统
作者
Dengpei Ji,Xiaolin Xiao,Jieyu Wu,Wenqiang Zheng,Guiying Zhang,Ruihan Guo,Miao Liu,Mantao Xu,Qiang Lin,Tzyy‐Ping Jung,Xizi Song
出处
期刊:Journal of Neural Engineering
[IOP Publishing]
日期:2024-05-30
卷期号:21 (3): 036024-036024
标识
DOI:10.1088/1741-2552/ad44d8
摘要
. Magnetoencephalography (MEG) shares a comparable time resolution with electroencephalography. However, MEG excels in spatial resolution, enabling it to capture even the subtlest and weakest brain signals for brain-computer interfaces (BCIs). Leveraging MEG's capabilities, specifically with optically pumped magnetometers (OPM-MEG), proves to be a promising avenue for advancing MEG-BCIs, owing to its exceptional sensitivity and portability. This study harnesses the power of high-frequency steady-state visual evoked fields (SSVEFs) to build an MEG-BCI system that is flickering-imperceptible, user-friendly, and highly accurate.
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