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A scalable and robust system for audience EEG recordings
The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590850/ https://www.ncbi.nlm.nih.gov/pubmed/37876480 http://dx.doi.org/10.1016/j.heliyon.2023.e20725 |
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author | Michalareas, Georgios Rudwan, Ismat M.A. Lehr, Claudia Gessini, Paolo Tavano, Alessandro Grabenhorst, Matthias |
author_facet | Michalareas, Georgios Rudwan, Ismat M.A. Lehr, Claudia Gessini, Paolo Tavano, Alessandro Grabenhorst, Matthias |
author_sort | Michalareas, Georgios |
collection | PubMed |
description | The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly large portion of such an audience simultaneously. Although the technology for such a system has been readily available for a long time, the high cost as well as the large overhead in human resources and logistic planning have prohibited the development of such a system. However, during the recent years reduction in technology costs and size have led to the emergence of low-cost, consumer-oriented EEG systems, developed primarily for recreational use. Here by combining such a low-cost EEG system with other off-the-shelve hardware and tailor-made software, we develop in the lab and test in a cinema such a scalable EEG hyper-scanning system. The system has a robust and stable performance and achieves accurate unambiguous alignment of the recorded data of the different EEG headsets. These characteristics combined with small preparation time and low-cost make it an ideal candidate for recording large portions of audiences. |
format | Online Article Text |
id | pubmed-10590850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105908502023-10-24 A scalable and robust system for audience EEG recordings Michalareas, Georgios Rudwan, Ismat M.A. Lehr, Claudia Gessini, Paolo Tavano, Alessandro Grabenhorst, Matthias Heliyon Research Article The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly large portion of such an audience simultaneously. Although the technology for such a system has been readily available for a long time, the high cost as well as the large overhead in human resources and logistic planning have prohibited the development of such a system. However, during the recent years reduction in technology costs and size have led to the emergence of low-cost, consumer-oriented EEG systems, developed primarily for recreational use. Here by combining such a low-cost EEG system with other off-the-shelve hardware and tailor-made software, we develop in the lab and test in a cinema such a scalable EEG hyper-scanning system. The system has a robust and stable performance and achieves accurate unambiguous alignment of the recorded data of the different EEG headsets. These characteristics combined with small preparation time and low-cost make it an ideal candidate for recording large portions of audiences. Elsevier 2023-10-13 /pmc/articles/PMC10590850/ /pubmed/37876480 http://dx.doi.org/10.1016/j.heliyon.2023.e20725 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Michalareas, Georgios Rudwan, Ismat M.A. Lehr, Claudia Gessini, Paolo Tavano, Alessandro Grabenhorst, Matthias A scalable and robust system for audience EEG recordings |
title | A scalable and robust system for audience EEG recordings |
title_full | A scalable and robust system for audience EEG recordings |
title_fullStr | A scalable and robust system for audience EEG recordings |
title_full_unstemmed | A scalable and robust system for audience EEG recordings |
title_short | A scalable and robust system for audience EEG recordings |
title_sort | scalable and robust system for audience eeg recordings |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590850/ https://www.ncbi.nlm.nih.gov/pubmed/37876480 http://dx.doi.org/10.1016/j.heliyon.2023.e20725 |
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