脑电图
可穿戴计算机
计算机科学
神经生理学
可穿戴技术
人机交互
睡眠(系统调用)
可用性
信号(编程语言)
忠诚
神经反射
神经科学
智能手表
信号处理
脑-机接口
睡眠剥夺
大脑活动与冥想
运动传感器
心理学
同步脑电与功能磁共振
睡眠阶段
临床神经生理学
作者
Helena Svobodová,Dušan Horváth,Diana Vitazkova,Erik Foltan,Michal Pečík,Erik Vavrinský
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2026-07-08
卷期号:16 (7): 374-374
摘要
Wearable electroencephalography (EEG) is rapidly evolving toward lightweight, user-friendly systems that enable brain monitoring in naturalistic settings. Traditional multi-channel, gel-based systems provide broad scalp coverage and high signal fidelity but are impractical for unsupervised or long-term use. This review focuses on the emerging generation of smart wearable EEG devices that are easy to wear, require minimal setup, and typically integrate additional physiological sensors such as photoplethysmography (PPG), temperature, or motion sensors. We review wearable EEG systems across four main form factors: head-worn EEG devices, smart EEG patches and tattoos, in-ear and headphone-based EEG, and glasses-integrated EEG. Head-worn systems offer broader signal coverage and support more complex applications such as sleep staging, human-machine interaction, and epilepsy monitoring. Patch-based systems are well suited to comfortable long-term monitoring, particularly in sleep-related applications. Ear-center systems provide high user comfort and stable signal acquisition from non-traditional electrode locations. Glasses-integrated devices represent an emerging option for unobtrusive daytime neurophysiology. Each category is examined in terms of sensor fusion, technical parameters, and embedded algorithms, with particular emphasis on automated signal analysis. We conclude with a discussion on current limitations, regulatory and usability challenges, and future directions toward unobtrusive, AI-powered neurotechnology for home and clinical use.
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