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EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development
A set of electroencephalogram (EEG) data from 29 subjects obtained from a study, in which the subjects performed a set of tests based on visual stimuli and motor images of the hands is presented. Three types of data are provided in this article: (1) Signals based on visual events (VEP), (2) signals...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581785/ https://www.ncbi.nlm.nih.gov/pubmed/31245509 http://dx.doi.org/10.1016/j.dib.2019.103871 |
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author | Fernandez-Fraga, S.M. Aceves-Fernandez, M.A. Pedraza-Ortega, J.C. |
author_facet | Fernandez-Fraga, S.M. Aceves-Fernandez, M.A. Pedraza-Ortega, J.C. |
author_sort | Fernandez-Fraga, S.M. |
collection | PubMed |
description | A set of electroencephalogram (EEG) data from 29 subjects obtained from a study, in which the subjects performed a set of tests based on visual stimuli and motor images of the hands is presented. Three types of data are provided in this article: (1) Signals based on visual events (VEP), (2) signals based on steady state visual events (SSVEP) and (3) signals based upon Motor Imagery (MI). Several research projects have used this data to test the detection of visual stimuli, classification and selection of characteristics of brain signals, EEG preprocessing and for optimization processes based on heuristic algorithms and algorithms based upon collective animal intelligence. The data was acquired using an Emotiv Epoc + portable EEG with 14 data channels and two reference channels. |
format | Online Article Text |
id | pubmed-6581785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65817852019-06-26 EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development Fernandez-Fraga, S.M. Aceves-Fernandez, M.A. Pedraza-Ortega, J.C. Data Brief Computer Science A set of electroencephalogram (EEG) data from 29 subjects obtained from a study, in which the subjects performed a set of tests based on visual stimuli and motor images of the hands is presented. Three types of data are provided in this article: (1) Signals based on visual events (VEP), (2) signals based on steady state visual events (SSVEP) and (3) signals based upon Motor Imagery (MI). Several research projects have used this data to test the detection of visual stimuli, classification and selection of characteristics of brain signals, EEG preprocessing and for optimization processes based on heuristic algorithms and algorithms based upon collective animal intelligence. The data was acquired using an Emotiv Epoc + portable EEG with 14 data channels and two reference channels. Elsevier 2019-03-22 /pmc/articles/PMC6581785/ /pubmed/31245509 http://dx.doi.org/10.1016/j.dib.2019.103871 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Computer Science Fernandez-Fraga, S.M. Aceves-Fernandez, M.A. Pedraza-Ortega, J.C. EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title | EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title_full | EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title_fullStr | EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title_full_unstemmed | EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title_short | EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development |
title_sort | eeg data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (bci) development |
topic | Computer Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581785/ https://www.ncbi.nlm.nih.gov/pubmed/31245509 http://dx.doi.org/10.1016/j.dib.2019.103871 |
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