Enhancing EEG spacial resolution using ESI: a motor control study
Ano de defesa: | 2019 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Universidade Federal de Uberlândia
|
Programa de Pós-Graduação: |
Programa de Pós-graduação em Engenharia Biomédica
|
Departamento: |
Não Informado pela instituição
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Link de acesso: | https://repositorio.ufu.br/handle/123456789/28620 http://doi.org/10.14393/ufu.di.2020.40 |
Resumo: | Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb. |
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2020-02-05T13:19:26Z2020-02-05T13:19:26Z2019-12-18SCHMIELE, Eric Ferreira. Enhancing EEG spacial resolution using ESI: a motor control study. 2019. 61 f. Dissertação (Mestrado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2019. Disponível em: http://doi.org/10.14393/ufu.di.2020.40.https://repositorio.ufu.br/handle/123456789/28620http://doi.org/10.14393/ufu.di.2020.40Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb.Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDissertação (Mestrado)engUniversidade Federal de UberlândiaPrograma de Pós-graduação em Engenharia BiomédicaBrasilhttp://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/openAccessCNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICAElectroencephalographySpatial resolutionElectromagnetic Source ImagingMotion controlSingle limbEnhancing EEG spacial resolution using ESI: a motor control studyAprimorando a resolução espacial do EEG usando ESI: um estudo de controle motorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisSoares, Alcimar Barbosahttp://lattes.cnpq.br/9801031941805250Destro Filho, João Batistahttp://lattes.cnpq.br/4173410222083256Elias, Leonardo Abdalahttp://lattes.cnpq.br/5429275286295501http://lattes.cnpq.br/4029373370797997Schmiele, Eric Ferreira6168504941reponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFUCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.ufu.br/bitstream/123456789/28620/2/license_rdf9868ccc48a14c8d591352b6eaf7f6239MD52ORIGINALEnhancingEEGSpacial.pdfEnhancingEEGSpacial.pdfapplication/pdf20978564https://repositorio.ufu.br/bitstream/123456789/28620/4/EnhancingEEGSpacial.pdf405071e7e77c47aaf6c717f3e90f50bdMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81792https://repositorio.ufu.br/bitstream/123456789/28620/3/license.txt48ded82ce41b8d2426af12aed6b3cbf3MD53TEXTEnhancingEEGSpacial.pdf.txtEnhancingEEGSpacial.pdf.txtExtracted texttext/plain116255https://repositorio.ufu.br/bitstream/123456789/28620/5/EnhancingEEGSpacial.pdf.txtc2fee03c579a60d16bcb6caa96c1efe2MD55THUMBNAILEnhancingEEGSpacial.pdf.jpgEnhancingEEGSpacial.pdf.jpgGenerated Thumbnailimage/jpeg1099https://repositorio.ufu.br/bitstream/123456789/28620/6/EnhancingEEGSpacial.pdf.jpgb62e444cb73e823d9b58525ef3237e35MD56123456789/286202020-02-06 03:11:34.309oai:repositorio.ufu.br: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Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2020-02-06T06:11:34Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false |
dc.title.pt_BR.fl_str_mv |
Enhancing EEG spacial resolution using ESI: a motor control study |
dc.title.alternative.pt_BR.fl_str_mv |
Aprimorando a resolução espacial do EEG usando ESI: um estudo de controle motor |
title |
Enhancing EEG spacial resolution using ESI: a motor control study |
spellingShingle |
Enhancing EEG spacial resolution using ESI: a motor control study Schmiele, Eric Ferreira CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA Electroencephalography Spatial resolution Electromagnetic Source Imaging Motion control Single limb |
title_short |
Enhancing EEG spacial resolution using ESI: a motor control study |
title_full |
Enhancing EEG spacial resolution using ESI: a motor control study |
title_fullStr |
Enhancing EEG spacial resolution using ESI: a motor control study |
title_full_unstemmed |
Enhancing EEG spacial resolution using ESI: a motor control study |
title_sort |
Enhancing EEG spacial resolution using ESI: a motor control study |
author |
Schmiele, Eric Ferreira |
author_facet |
Schmiele, Eric Ferreira |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Soares, Alcimar Barbosa |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9801031941805250 |
dc.contributor.referee1.fl_str_mv |
Destro Filho, João Batista |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/4173410222083256 |
dc.contributor.referee2.fl_str_mv |
Elias, Leonardo Abdala |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/5429275286295501 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4029373370797997 |
dc.contributor.author.fl_str_mv |
Schmiele, Eric Ferreira |
contributor_str_mv |
Soares, Alcimar Barbosa Destro Filho, João Batista Elias, Leonardo Abdala |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA |
topic |
CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA Electroencephalography Spatial resolution Electromagnetic Source Imaging Motion control Single limb |
dc.subject.por.fl_str_mv |
Electroencephalography Spatial resolution Electromagnetic Source Imaging Motion control Single limb |
description |
Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019-12-18 |
dc.date.accessioned.fl_str_mv |
2020-02-05T13:19:26Z |
dc.date.available.fl_str_mv |
2020-02-05T13:19:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SCHMIELE, Eric Ferreira. Enhancing EEG spacial resolution using ESI: a motor control study. 2019. 61 f. Dissertação (Mestrado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2019. Disponível em: http://doi.org/10.14393/ufu.di.2020.40. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufu.br/handle/123456789/28620 |
dc.identifier.doi.pt_BR.fl_str_mv |
http://doi.org/10.14393/ufu.di.2020.40 |
identifier_str_mv |
SCHMIELE, Eric Ferreira. Enhancing EEG spacial resolution using ESI: a motor control study. 2019. 61 f. Dissertação (Mestrado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2019. Disponível em: http://doi.org/10.14393/ufu.di.2020.40. |
url |
https://repositorio.ufu.br/handle/123456789/28620 http://doi.org/10.14393/ufu.di.2020.40 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/3.0/us/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/3.0/us/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Engenharia Biomédica |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
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