Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review

计算机科学 脑电图 无线 可穿戴计算机 无线传感器网络 无线网络 风险分析(工程) 电信 医学 嵌入式系统 心理学 计算机网络 神经科学
作者
Congying He,Yuyi Chen,Chun‐Ren Phang,Cory Stevenson,I‐Ping Chen,Tzyy‐Ping Jung,Li‐Wei Ko
出处
期刊:IEEE Journal of Biomedical and Health Informatics [Institute of Electrical and Electronics Engineers]
卷期号:27 (8): 3830-3843 被引量:84
标识
DOI:10.1109/jbhi.2023.3239053
摘要

Wireless electroencephalography (EEG) systems have been attracting increasing attention in recent times. Both the number of articles discussing wireless EEG and their proportion relative to general EEG publications have increased over years. These trends indicate that wireless EEG systems could be more accessible to researchers and the research community has recognized the potential of wireless EEG systems. To explore the development and diverse applications of wireless EEG systems, this review highlights the trends in wearable and wireless EEG systems over the past decade and compares the specifications and research applications of the major wireless systems marketed by 16 companies. For each product, five parameters (number of channels, sampling rate, cost, battery life, and resolution) were assessed for comparison. Currently, these wearable and portable wireless EEG systems have three main application areas: consumer, clinical, and research. To address this multitude of options, the article also discussed the thought process to find a suitable device that meets personalization and use cases specificities. These investigations suggest that low-price and convenience are key factors for consumer applications, wireless EEG systems with FDA or CE-certification may be more suitable for clinical settings, and devices that provide raw EEG data with high-density channels are important for laboratory research. This article presents an overview of the current state of the wireless EEG systems specifications and possible applications and serves as a guide point as it is expected that more influential and novel research will cyclically promote the development of such EEG systems.
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