EEG-Based Brain-Computer Interfaces: Pioneering Frontier Research in the 21st Century.

IF 1.2 4区医学 Q4 ENGINEERING, BIOMEDICAL

IEEE Pulse Pub Date : 2025-05-01 DOI:10.1109/MPULS.2025.3572556

Polat Goktas, Nyi Nyi Tun

引用次数: 0

Abstract

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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基于脑电图的脑机接口：21世纪的前沿研究。

基于脑电图（EEG）的脑机接口（BCI）系统不可避免地需要建立非侵入性神经康复治疗。随着人工智能（AI）技术的发展趋势，构建基于脑电图的脑机接口仍然是推动最先进的脑机接口发展的需求。本文从开拓性前沿研究的角度，重点介绍了21世纪基于脑电图的脑机接口系统及其面临的挑战，以及神经科学家和临床应用的未来方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Pulse ENGINEERING, BIOMEDICAL-

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： IEEE Pulse covers both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.