Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation
Descripción del Articulo
Visual feedback in a brain computer interface (BCI) influences significantly in its performance; but when this BCI will be applied in a rehabilitation therapy for post stroke patients, it will be a determining factor to enhance the neuroplasticity process. Many studies have demonstrated the efficien...
Autores: | , , , |
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Formato: | objeto de conferencia |
Fecha de Publicación: | 2019 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/645 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/645 https://doi.org/10.1109/SMC.2018.00179 |
Nivel de acceso: | acceso abierto |
Materia: | Visual communication Brain Cybernetics Maps Medical computing Neuromuscular rehabilitation Neurophysiology Patient rehabilitation Patient treatment Spectral density Virtual reality Activation level Immersive environment Immersive virtual reality https://purl.org/pe-repo/ocde/ford#3.01.00 |
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CONCYTEC-Institucional |
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4689 |
dc.title.none.fl_str_mv |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
title |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
spellingShingle |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation Achanccaray D. Visual communication Brain Cybernetics Maps Medical computing Neuromuscular rehabilitation Neurophysiology Patient rehabilitation Patient treatment Spectral density Virtual reality Activation level Immersive environment Immersive virtual reality https://purl.org/pe-repo/ocde/ford#3.01.00 |
title_short |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
title_full |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
title_fullStr |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
title_full_unstemmed |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
title_sort |
Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation |
author |
Achanccaray D. |
author_facet |
Achanccaray D. Pacheco K. Carranza E. Hayashibe M. |
author_role |
author |
author2 |
Pacheco K. Carranza E. Hayashibe M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Achanccaray D. Pacheco K. Carranza E. Hayashibe M. |
dc.subject.none.fl_str_mv |
Visual communication |
topic |
Visual communication Brain Cybernetics Maps Medical computing Neuromuscular rehabilitation Neurophysiology Patient rehabilitation Patient treatment Spectral density Virtual reality Activation level Immersive environment Immersive virtual reality https://purl.org/pe-repo/ocde/ford#3.01.00 |
dc.subject.es_PE.fl_str_mv |
Brain Cybernetics Maps Medical computing Neuromuscular rehabilitation Neurophysiology Patient rehabilitation Patient treatment Spectral density Virtual reality Activation level Immersive environment Immersive virtual reality |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.01.00 |
description |
Visual feedback in a brain computer interface (BCI) influences significantly in its performance; but when this BCI will be applied in a rehabilitation therapy for post stroke patients, it will be a determining factor to enhance the neuroplasticity process. Many studies have demonstrated the efficiency of virtual reality (VR) in a BCI, motor cortex increases its activation levels due to be an immersive environment for the subject; specifically, a BCI based on motor imagery (MI) with VR feedback has positive effects in patients. This work proposes to apply a BCI with VR to support an upper limb rehabilitation therapy for post stroke patients, but it has been tested with eighteen healthy subjects, they performed MI tasks of flexion and extension of their arms, then they could see a virtual arm in 3D performing the same requested movement. Comparison of power spectral density (PSD) estimation is done during MI tasks in training and online test sessions, and feedback in online test sessions; and it is possible to observe the brain activity in alpha and beta bands remained during online sessions, topographic map shows activated premotor and motor cortex areas, it is significant evidence for the application of this system to motor disable patients. |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
dc.identifier.isbn.none.fl_str_mv |
urn:isbn:9781538666500 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/645 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/SMC.2018.00179 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85062235226 |
identifier_str_mv |
urn:isbn:9781538666500 2-s2.0-85062235226 |
url |
https://hdl.handle.net/20.500.12390/645 https://doi.org/10.1109/SMC.2018.00179 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
_version_ |
1839175739339964416 |
spelling |
Publicationrp00657500rp01354600rp00655500rp00882500Achanccaray D.Pacheco K.Carranza E.Hayashibe M.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2019urn:isbn:9781538666500https://hdl.handle.net/20.500.12390/645https://doi.org/10.1109/SMC.2018.001792-s2.0-85062235226Visual feedback in a brain computer interface (BCI) influences significantly in its performance; but when this BCI will be applied in a rehabilitation therapy for post stroke patients, it will be a determining factor to enhance the neuroplasticity process. Many studies have demonstrated the efficiency of virtual reality (VR) in a BCI, motor cortex increases its activation levels due to be an immersive environment for the subject; specifically, a BCI based on motor imagery (MI) with VR feedback has positive effects in patients. This work proposes to apply a BCI with VR to support an upper limb rehabilitation therapy for post stroke patients, but it has been tested with eighteen healthy subjects, they performed MI tasks of flexion and extension of their arms, then they could see a virtual arm in 3D performing the same requested movement. Comparison of power spectral density (PSD) estimation is done during MI tasks in training and online test sessions, and feedback in online test sessions; and it is possible to observe the brain activity in alpha and beta bands remained during online sessions, topographic map shows activated premotor and motor cortex areas, it is significant evidence for the application of this system to motor disable patients.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengInstitute of Electrical and Electronics Engineers Inc.Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018info:eu-repo/semantics/openAccessVisual communicationBrain-1Cybernetics-1Maps-1Medical computing-1Neuromuscular rehabilitation-1Neurophysiology-1Patient rehabilitation-1Patient treatment-1Spectral density-1Virtual reality-1Activation level-1Immersive environment-1Immersive virtual reality-1https://purl.org/pe-repo/ocde/ford#3.01.00-1Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitationinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/645oai:repositorio.concytec.gob.pe:20.500.12390/6452024-05-30 15:58:22.535http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="c3bbfe7b-78e8-46db-b61e-13ff07e999a2"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation</Title> <PublishedIn> <Publication> <Title>Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018</Title> </Publication> </PublishedIn> <PublicationDate>2019</PublicationDate> <DOI>https://doi.org/10.1109/SMC.2018.00179</DOI> <SCP-Number>2-s2.0-85062235226</SCP-Number> <ISBN>urn:isbn:9781538666500</ISBN> <Authors> <Author> <DisplayName>Achanccaray D.</DisplayName> <Person id="rp00657" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Pacheco K.</DisplayName> <Person id="rp01354" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Carranza E.</DisplayName> <Person id="rp00655" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Hayashibe M.</DisplayName> <Person id="rp00882" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Institute of Electrical and Electronics Engineers Inc.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Visual communication</Keyword> <Keyword>Brain</Keyword> <Keyword>Cybernetics</Keyword> <Keyword>Maps</Keyword> <Keyword>Medical computing</Keyword> <Keyword>Neuromuscular rehabilitation</Keyword> <Keyword>Neurophysiology</Keyword> <Keyword>Patient rehabilitation</Keyword> <Keyword>Patient treatment</Keyword> <Keyword>Spectral density</Keyword> <Keyword>Virtual reality</Keyword> <Keyword>Activation level</Keyword> <Keyword>Immersive environment</Keyword> <Keyword>Immersive virtual reality</Keyword> <Abstract>Visual feedback in a brain computer interface (BCI) influences significantly in its performance; but when this BCI will be applied in a rehabilitation therapy for post stroke patients, it will be a determining factor to enhance the neuroplasticity process. Many studies have demonstrated the efficiency of virtual reality (VR) in a BCI, motor cortex increases its activation levels due to be an immersive environment for the subject; specifically, a BCI based on motor imagery (MI) with VR feedback has positive effects in patients. This work proposes to apply a BCI with VR to support an upper limb rehabilitation therapy for post stroke patients, but it has been tested with eighteen healthy subjects, they performed MI tasks of flexion and extension of their arms, then they could see a virtual arm in 3D performing the same requested movement. Comparison of power spectral density (PSD) estimation is done during MI tasks in training and online test sessions, and feedback in online test sessions; and it is possible to observe the brain activity in alpha and beta bands remained during online sessions, topographic map shows activated premotor and motor cortex areas, it is significant evidence for the application of this system to motor disable patients.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.448654 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).