HEROIC: a platform for remote collection of electroencephalographic data using consumer-grade brain wearables

被引:0
|
作者
Sugden, Richard James [1 ,2 ]
Campbell, Ingrid [2 ,3 ]
Pham-Kim-Nghiem-Phu, Viet-Linh Luke [2 ]
Higazy, Randa [2 ]
Dent, Eliza [5 ]
Edelstein, Kim [6 ,7 ]
Leon, Alberto [2 ]
Diamandis, Phedias [1 ,4 ,8 ]
机构
[1] Univ Toronto, Dept Med Biophys, Toronto, ON M5S 1A8, Canada
[2] Univ Hlth Network, Princess Margaret Canc Ctr, 610 Univ Ave, Toronto, ON M5G 2C1, Canada
[3] Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON M5S 1A8, Canada
[4] Univ Hlth Network, Lab Med Program, 200 Elizabeth St, Toronto, ON M5G 2C4, Canada
[5] McGill Univ, Cognit Sci Program, 845 Rue Sherbrooke, Montreal, PQ H3A 0G4, Canada
[6] Princess Margaret Canc Ctr, Dept Support Care, Toronto, ON M5G 2M9, Canada
[7] Univ Toronto, Dept Psychiat, Toronto, ON M5S 1A8, Canada
[8] Univ Hlth Network 12 308, Dept Pathol, Toronto Med Discovery Tower TMDT,101 Coll St, Toronto, ON M5G 1L7, Canada
来源
BMC BIOINFORMATICS | 2024年 / 25卷 / 01期
关键词
Electroencephalography; Wearable devices; Remote medicine; EEG;
D O I
10.1186/s12859-024-05865-9
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The growing number of portable consumer-grade electroencephalography (EEG) wearables offers potential to track brain activity and neurological disease in real-world environments. However, accompanying open software tools to standardize custom recordings and help guide independent operation by users is lacking. To address this gap, we developed HEROIC, an open-source software that allows participants to remotely collect advanced EEG data without the aid of an expert technician. The aim of HEROIC is to provide an open software platform that can be coupled with consumer grade wearables to record EEG data during customized neurocognitive tasks outside of traditional research environments. This article contains a description of HEROIC's implementation, how it can be used by researchers and a proof-of-concept demonstration highlighting the potential for HEROIC to be used as a scalable and low-cost EEG data collection tool. Specifically, we used HEROIC to guide healthy participants through standardized neurocognitive tasks and captured complex brain data including event-related potentials (ERPs) and powerband changes in participants' homes. Our results demonstrate HEROIC's capability to generate data precisely synchronized to presented stimuli, using a low-cost, remote protocol without reliance on an expert operator to administer sessions. Together, our software and its capabilities provide the first democratized and scalable platform for large-scale remote and longitudinal analysis of brain health and disease.
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页数:10
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