Brain computer interfaces, a review

Producción Científica

Detalles Bibliográficos
Autores: Nicolas Alonso, Luis Fernando, Gómez Gil, Jaime
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/57272
Acceso en línea:https://doi.org/10.3390/s120201211
https://uvadoc.uva.es/handle/10324/57272
Access Level:acceso abierto
Palabra clave:Brain-Computer Interface (BCI)
Electroencephalography (EEG)
Rehabilitation
Artifact
Neuroimaging
Brain-Machine Interface (BMI)
collaborative sensor system
33 Ciencias Tecnológicas
3314 Tecnología Médica
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spelling Brain computer interfaces, a reviewNicolas Alonso, Luis FernandoGómez Gil, JaimeBrain-Computer Interface (BCI)Electroencephalography (EEG)RehabilitationArtifactNeuroimagingBrain-Machine Interface (BMI)collaborative sensor system33 Ciencias Tecnológicas3314 Tecnología MédicaProducción CientíficaA brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices. The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or ‘locked in’ by neurological neuromuscular disorders, such as amyotrophic lateral sclerosis, brain stem stroke, or spinal cord injury. Here, we review the state-of-the-art of BCIs, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface. We discuss their advantages, drawbacks, and latest advances, and we survey the numerous technologies reported in the scientific literature to design each step of a BCI. First, the review examines the neuroimaging modalities used in the signal acquisition step, each of which monitors a different functional brain activity such as electrical, magnetic or metabolic activity. Second, the review discusses different electrophysiological control signals that determine user intentions, which can be detected in brain activity. Third, the review includes some techniques used in the signal enhancement step to deal with the artifacts in the control signals and improve the performance. Fourth, the review studies some mathematic algorithms used in the feature extraction and classification steps which translate the information in the control signals into commands that operate a computer or other device. Finally, the review provides an overview of various BCI applications that control a range of devices.Junta de Castilla y León, (proyecto VA034A10-2)MDPI2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/s120201211https://uvadoc.uva.es/handle/10324/57272reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.mdpi.com/1424-8220/12/2/1211info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/oai:uvadoc.uva.es:10324/572722026-06-13T12:44:47Z
dc.title.none.fl_str_mv Brain computer interfaces, a review
title Brain computer interfaces, a review
spellingShingle Brain computer interfaces, a review
Nicolas Alonso, Luis Fernando
Brain-Computer Interface (BCI)
Electroencephalography (EEG)
Rehabilitation
Artifact
Neuroimaging
Brain-Machine Interface (BMI)
collaborative sensor system
33 Ciencias Tecnológicas
3314 Tecnología Médica
title_short Brain computer interfaces, a review
title_full Brain computer interfaces, a review
title_fullStr Brain computer interfaces, a review
title_full_unstemmed Brain computer interfaces, a review
title_sort Brain computer interfaces, a review
dc.creator.none.fl_str_mv Nicolas Alonso, Luis Fernando
Gómez Gil, Jaime
author Nicolas Alonso, Luis Fernando
author_facet Nicolas Alonso, Luis Fernando
Gómez Gil, Jaime
author_role author
author2 Gómez Gil, Jaime
author2_role author
dc.subject.none.fl_str_mv Brain-Computer Interface (BCI)
Electroencephalography (EEG)
Rehabilitation
Artifact
Neuroimaging
Brain-Machine Interface (BMI)
collaborative sensor system
33 Ciencias Tecnológicas
3314 Tecnología Médica
topic Brain-Computer Interface (BCI)
Electroencephalography (EEG)
Rehabilitation
Artifact
Neuroimaging
Brain-Machine Interface (BMI)
collaborative sensor system
33 Ciencias Tecnológicas
3314 Tecnología Médica
description Producción Científica
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/s120201211
https://uvadoc.uva.es/handle/10324/57272
url https://doi.org/10.3390/s120201211
https://uvadoc.uva.es/handle/10324/57272
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.mdpi.com/1424-8220/12/2/1211
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
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