Sugden Richard James, Pham-Kim-Nghiem-Phu Viet-Linh Luke, Campbell Ingrid, Leon Alberto, Diamandis Phedias
Department of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
Bioelectron Med. 2023 Jun 21;9(1):12. doi: 10.1186/s42234-023-00114-5.
Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which restrict both testing contexts and repeated longitudinal measures. The emergence of low-cost "wearable" EEG devices now provides the prospect of frequent and remote monitoring of the human brain for a variety of physiological and pathological brain states. In this manuscript, we survey evidence that EEG wearables provide high-quality data and review various software used for remote data collection. We then discuss the growing body of evidence supporting the feasibility of remote and longitudinal EEG data collection using wearables including a discussion of potential biomedical applications of these protocols. Lastly, we discuss some additional challenges needed for EEG wearable research to gain further widespread adoption.
收集脑电图（EEG）数据为非侵入性研究人类大脑可塑性、学习以及各种神经精神疾病的演变提供了机会。传统上，由于硬件复杂，EEG研究在很大程度上限于研究中心，这限制了测试环境和重复的纵向测量。低成本“可穿戴”EEG设备的出现，现在为频繁和远程监测人类大脑的各种生理和病理脑状态提供了前景。在本手稿中，我们调查了EEG可穿戴设备提供高质量数据的证据，并回顾了用于远程数据收集的各种软件。然后，我们讨论了越来越多的证据支持使用可穿戴设备进行远程和纵向EEG数据收集的可行性，包括对这些协议潜在生物医学应用的讨论。最后，我们讨论了EEG可穿戴设备研究要获得更广泛应用还需要面对的一些其他挑战。
