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Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues

Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic brain activities to be measured simultaneously during social...

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Autores principales: Lee, Sunghan, Cho, Hohyun, Kim, Kiseong, Jun, Sung Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832946/
https://www.ncbi.nlm.nih.gov/pubmed/31652579
http://dx.doi.org/10.3390/s19204592
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author Lee, Sunghan
Cho, Hohyun
Kim, Kiseong
Jun, Sung Chan
author_facet Lee, Sunghan
Cho, Hohyun
Kim, Kiseong
Jun, Sung Chan
author_sort Lee, Sunghan
collection PubMed
description Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic brain activities to be measured simultaneously during social interactions. Most studies to date have investigated dyadic interactions, although multilateral interactions are more common in reality. However, it is believed that most studies have focused on such interactions because of methodological limitations, in that it is very difficult to design a well-controlled experiment for multiple users at a reasonable cost. Accordingly, there are few simultaneous acquisition systems for multiple users. In this study, we propose a design framework for an acquisition system that measures EEG data simultaneously in an environment with 10 or more people. Our proposed framework allowed us to acquire EEG data at up to 1 kHz frequency from up to 20 people simultaneously. Details of our acquisition system are described from hardware and software perspectives. In addition, various related issues that arose in the system’s development—such as synchronization techniques, system loads, electrodes, and applications—are discussed. In addition, simultaneous visual ERP experiments were conducted with a group of nine people to validate the EEG acquisition framework proposed. We found that our framework worked reasonably well with respect to less than 4 ms delay and average loss rates of 1%. It is expected that this system can be used in various hyperscanning studies, such as those on crowd psychology, large-scale human interactions, and collaborative brain–computer interface, among others.
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spelling pubmed-68329462019-11-25 Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues Lee, Sunghan Cho, Hohyun Kim, Kiseong Jun, Sung Chan Sensors (Basel) Article Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic brain activities to be measured simultaneously during social interactions. Most studies to date have investigated dyadic interactions, although multilateral interactions are more common in reality. However, it is believed that most studies have focused on such interactions because of methodological limitations, in that it is very difficult to design a well-controlled experiment for multiple users at a reasonable cost. Accordingly, there are few simultaneous acquisition systems for multiple users. In this study, we propose a design framework for an acquisition system that measures EEG data simultaneously in an environment with 10 or more people. Our proposed framework allowed us to acquire EEG data at up to 1 kHz frequency from up to 20 people simultaneously. Details of our acquisition system are described from hardware and software perspectives. In addition, various related issues that arose in the system’s development—such as synchronization techniques, system loads, electrodes, and applications—are discussed. In addition, simultaneous visual ERP experiments were conducted with a group of nine people to validate the EEG acquisition framework proposed. We found that our framework worked reasonably well with respect to less than 4 ms delay and average loss rates of 1%. It is expected that this system can be used in various hyperscanning studies, such as those on crowd psychology, large-scale human interactions, and collaborative brain–computer interface, among others. MDPI 2019-10-22 /pmc/articles/PMC6832946/ /pubmed/31652579 http://dx.doi.org/10.3390/s19204592 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Sunghan
Cho, Hohyun
Kim, Kiseong
Jun, Sung Chan
Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title_full Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title_fullStr Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title_full_unstemmed Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title_short Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
title_sort simultaneous eeg acquisition system for multiple users: development and related issues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832946/
https://www.ncbi.nlm.nih.gov/pubmed/31652579
http://dx.doi.org/10.3390/s19204592
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