EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development

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...

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Main Authors: S.M. Fernandez-Fraga, M.A. Aceves-Fernandez, J.C. Pedraza-Ortega
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919302227
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spelling doaj-99102e09781a4f7dba600a5af44e0a682020-11-25T01:18:30ZengElsevierData in Brief2352-34092019-08-0125EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) developmentS.M. Fernandez-Fraga0M.A. Aceves-Fernandez1J.C. Pedraza-Ortega2Tecnólogico Nacional de México/Instituto Tecnológico de Querétaro MexicoUniversidad Autónoma de Querétaro Mexico; Corresponding author.Universidad Autónoma de Querétaro MexicoA 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.http://www.sciencedirect.com/science/article/pii/S2352340919302227
collection DOAJ
language English
format Article
sources DOAJ
author S.M. Fernandez-Fraga
M.A. Aceves-Fernandez
J.C. Pedraza-Ortega
spellingShingle S.M. Fernandez-Fraga
M.A. Aceves-Fernandez
J.C. Pedraza-Ortega
EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development
Data in Brief
author_facet S.M. Fernandez-Fraga
M.A. Aceves-Fernandez
J.C. Pedraza-Ortega
author_sort S.M. Fernandez-Fraga
title 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_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_sort eeg data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (bci) development
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2019-08-01
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.
url http://www.sciencedirect.com/science/article/pii/S2352340919302227
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AT maacevesfernandez eegdatacollectionusingvisualevokedsteadystatevisualevokedandmotorimagetaskdesignedtobraincomputerinterfacesbcidevelopment
AT jcpedrazaortega eegdatacollectionusingvisualevokedsteadystatevisualevokedandmotorimagetaskdesignedtobraincomputerinterfacesbcidevelopment
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