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HEROIC: a platform for remote collection of electroencephalographic data using consumer-grade brain wearables.
Sugden, Richard James; Campbell, Ingrid; Pham-Kim-Nghiem-Phu, Viet-Linh Luke; Higazy, Randa; Dent, Eliza; Edelstein, Kim; Leon, Alberto; Diamandis, Phedias.
Afiliação
  • Sugden RJ; Department of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
  • Campbell I; Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
  • Pham-Kim-Nghiem-Phu VL; Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
  • Higazy R; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
  • Dent E; Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
  • Edelstein K; Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
  • Leon A; Cognitive Science Program, McGill University, 845 Rue Sherbrooke O, Montréal, QC, H3A 0G4, Canada.
  • Diamandis P; Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, M5G 2C4, Canada.
BMC Bioinformatics ; 25(1): 243, 2024 Jul 18.
Article em En | MEDLINE | ID: mdl-39026153
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Encéfalo / Eletroencefalografia / Dispositivos Eletrônicos Vestíveis Limite: Humans / Male Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Encéfalo / Eletroencefalografia / Dispositivos Eletrônicos Vestíveis Limite: Humans / Male Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá