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ESB: A low-cost EEG Synchronization Box
Electroencephalography (EEG) is a neuroimaging technique with a temporal resolution in the millisecond scale. Popular ERPs and ERD/ERS functions, as well as EEG-fRMI data and hyperscanning methods requires a proper temporal alignment (namely, synchronization) with stimulus onsets and other devices....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041257/ https://www.ncbi.nlm.nih.gov/pubmed/35498268 http://dx.doi.org/10.1016/j.ohx.2020.e00125 |
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author | Bilucaglia, Marco Masi, Riccardo Stanislao, Giovanni Di Laureanti, Rita Fici, Alessandro Circi, Riccardo Zito, Margherita Russo, Vincenzo |
author_facet | Bilucaglia, Marco Masi, Riccardo Stanislao, Giovanni Di Laureanti, Rita Fici, Alessandro Circi, Riccardo Zito, Margherita Russo, Vincenzo |
author_sort | Bilucaglia, Marco |
collection | PubMed |
description | Electroencephalography (EEG) is a neuroimaging technique with a temporal resolution in the millisecond scale. Popular ERPs and ERD/ERS functions, as well as EEG-fRMI data and hyperscanning methods requires a proper temporal alignment (namely, synchronization) with stimulus onsets and other devices. Hardware-based synchronization, based on a SYNC signal injected into the device, ensures a reliable timing. In this paper we describe the design, test and validation of an EEG Synchronization Box (ESB), able to condition and distribute a SYNC signal (analog and digital) to different devices simultaneously. ESB can be easily built by individuals with basic soldering skills and represents a cost-effective solution to the available commercial synchronization boxes, while preserving similar electrical and functional features. |
format | Online Article Text |
id | pubmed-9041257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90412572022-04-27 ESB: A low-cost EEG Synchronization Box Bilucaglia, Marco Masi, Riccardo Stanislao, Giovanni Di Laureanti, Rita Fici, Alessandro Circi, Riccardo Zito, Margherita Russo, Vincenzo HardwareX Article Electroencephalography (EEG) is a neuroimaging technique with a temporal resolution in the millisecond scale. Popular ERPs and ERD/ERS functions, as well as EEG-fRMI data and hyperscanning methods requires a proper temporal alignment (namely, synchronization) with stimulus onsets and other devices. Hardware-based synchronization, based on a SYNC signal injected into the device, ensures a reliable timing. In this paper we describe the design, test and validation of an EEG Synchronization Box (ESB), able to condition and distribute a SYNC signal (analog and digital) to different devices simultaneously. ESB can be easily built by individuals with basic soldering skills and represents a cost-effective solution to the available commercial synchronization boxes, while preserving similar electrical and functional features. Elsevier 2020-07-25 /pmc/articles/PMC9041257/ /pubmed/35498268 http://dx.doi.org/10.1016/j.ohx.2020.e00125 Text en © 2020 The Authors 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 | Article Bilucaglia, Marco Masi, Riccardo Stanislao, Giovanni Di Laureanti, Rita Fici, Alessandro Circi, Riccardo Zito, Margherita Russo, Vincenzo ESB: A low-cost EEG Synchronization Box |
title | ESB: A low-cost EEG Synchronization Box |
title_full | ESB: A low-cost EEG Synchronization Box |
title_fullStr | ESB: A low-cost EEG Synchronization Box |
title_full_unstemmed | ESB: A low-cost EEG Synchronization Box |
title_short | ESB: A low-cost EEG Synchronization Box |
title_sort | esb: a low-cost eeg synchronization box |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041257/ https://www.ncbi.nlm.nih.gov/pubmed/35498268 http://dx.doi.org/10.1016/j.ohx.2020.e00125 |
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