脑-机接口
脑电图
康复
接口(物质)
医学
领域(数学)
计算机科学
人机交互
神经科学
心理学
精神科
数学
纯数学
气泡
最大气泡压力法
并行计算
作者
Xiuyun Liu,Wenlong Wang,Miao Liu,Mingyi Chen,Tânia Pereira,Desta Yakob Doda,Yufeng Ke,Shouyan Wang,Wen Dong,Xiaoguang Tong,Wei‐Guang Li,Yi Yang,Xiaodi Han,Yulin Sun,Xin Jiang Song,Cong-Ying Hao,Zihua Zhang,Xin‐Yang Liu,Chunyang Li,Rui Peng
标识
DOI:10.1186/s40779-025-00598-z
摘要
Abstract Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental principles, technical advancements, and applications in specific domains. However, these reviews often focus on signal processing, hardware development, or limited applications such as motor rehabilitation or communication. This paper aims to offer a comprehensive review of recent electroencephalogram (EEG)-based BCI applications in the medical field across 8 critical areas, encompassing rehabilitation, daily communication, epilepsy, cerebral resuscitation, sleep, neurodegenerative diseases, anesthesiology, and emotion recognition. Moreover, the current challenges and future trends of BCIs were also discussed, including personal privacy and ethical concerns, network security vulnerabilities, safety issues, and biocompatibility.
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