Remote collection of electrophysiological data with brain wearables: opportunities and challenges

被引：4
作者：
Sugden R.J. [1 ,2 ]
Pham-Kim-Nghiem-Phu V.-L.L. [2 ]
Campbell I. [2 ,3 ]
Leon A. [2 ]
Diamandis P. [1 ,4 ]
机构：
[1] Department of Medical Biophysics, University of Toronto, Toronto, M5S 1A8, ON
[2] Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, M5G 2C1, ON
[3] Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5S 1A8, ON
[4] Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, M5G 2C4, ON
来源：
Bioelectronic Medicine | 2023年 / 9卷 / 01期
基金：
加拿大健康研究院; 加拿大自然科学与工程研究理事会;
关键词：
Diagnostics; Electroencephalography; Neuropathology; Remote medicine; Wearable devices;
D O I：
10.1186/s42234-023-00114-5
中图分类号：
学科分类号：
摘要：
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. © 2023, The Author(s).
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