脑-机接口
脑电图
神经康复
边疆
计算机科学
神经信息学
接口(物质)
透视图(图形)
认知科学
人机交互
人工智能
神经科学
心理学
数据科学
康复
并行计算
考古
气泡
最大气泡压力法
历史
作者
Polat Göktaş,Nyi Nyi Tun
出处
期刊:IEEE Pulse
[IEEE Engineering in Medicine and Biology Society]
日期:2025-05-01
卷期号:16 (3): 36-39
标识
DOI:10.1109/mpuls.2025.3572556
摘要
Electroencephalography (EEG)-based brain-computer interface (BCI) systems are inevitably needed to set up non-invasive therapies in neurorehabilitation. Along with the artificial intelligence (AI) techniques trending, constructing EEG-based brain computer interfaces is still in demand with high classification accuracy for advancing the state-of-the-art BCIs. From the perspective of pioneering frontier research, this article highlights the 21st-century's EEG-based BCI systems, their challenges, and its future direction for neuroscientists and clinical applications.
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