A novel approach of independent brain-computer interface based on SSVEP

Detalhes bibliográficos
Autor(a) principal: Tello, Richard Junior Manuel Godinez
Data de Publicação: 2016
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/9683
Resumo: Over the past ten years, Brain Computer Interfaces (BCIs) based on Steady- State Visual Evoked Potentials (SSVEP) have attracted the attention of many researchers due to the promissory results and the high accuracy rates achieved. This type of BCI provides to people with severe neuromotor difficulties the possibility to communicate with the world around them using visual attention modulation to blinking lights at a given frequency. This thesis aiming at developing a new approach of Independent BCI, in which users are not required to perform neuromuscular tasks to select visual targets, a feature that distinguishes it from traditional SSVEP-BCIs. Thus, people with severe motor disabilities as Amyotrophic Lateral Sclerosis (ALS) have a new alternative channel to communicate with the world around them using brain signals. Several contributions were done in this thesis, such as: improvement of the feature extractor called Multivariate Synchronization Index (MSI) for detecting evoked potentials; development of a new method for detecting evoked potentials through correlating multidimensional models (tensors); a first study on the influence of colored stimuli in SSVEPs detection using LEDs; the development of the concept of Compressive sensing applied to SSVEPs; and, finally, the development of a novel independent BCI under an approach named Figure-Ground Perception (FGP)
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spelling Ferreira, AndréMüller, Sandra Mara TorresBastos Filho, Teodiano FreireTello, Richard Junior Manuel GodinezCiarelli, Patrick MarquesLima, Eduardo Roncon deSá, Antônio Maurício Miranda de2018-08-02T00:01:45Z2018-08-012018-08-02T00:01:45Z2016-09-01Over the past ten years, Brain Computer Interfaces (BCIs) based on Steady- State Visual Evoked Potentials (SSVEP) have attracted the attention of many researchers due to the promissory results and the high accuracy rates achieved. This type of BCI provides to people with severe neuromotor difficulties the possibility to communicate with the world around them using visual attention modulation to blinking lights at a given frequency. This thesis aiming at developing a new approach of Independent BCI, in which users are not required to perform neuromuscular tasks to select visual targets, a feature that distinguishes it from traditional SSVEP-BCIs. Thus, people with severe motor disabilities as Amyotrophic Lateral Sclerosis (ALS) have a new alternative channel to communicate with the world around them using brain signals. Several contributions were done in this thesis, such as: improvement of the feature extractor called Multivariate Synchronization Index (MSI) for detecting evoked potentials; development of a new method for detecting evoked potentials through correlating multidimensional models (tensors); a first study on the influence of colored stimuli in SSVEPs detection using LEDs; the development of the concept of Compressive sensing applied to SSVEPs; and, finally, the development of a novel independent BCI under an approach named Figure-Ground Perception (FGP)Durante os últimos dez anos, as Interfaces Cérebro Computador (ICC) baseadas em Potenciais Evocados Visuais de Regime Permanente (SSVEP) têm chamado a atenção de muitos pesquisadores devido aos resultados promissores e as altas taxas de precisão atingidas. Este tipo de ICC permite que pessoas com dificuldades motoras severas possam se comunicar com o mundo exterior através da modulação da atenção visual a luzes piscantes com frequência determinada. Esta Tese de Doutorado tem o intuito de desenvolver um novo enfoque dentro das chamadas ICC Independentes, nas quais os usuários não necessitam executar tarefas neuromusculares para seleção visual de objetivos específicos, característica que a distingue das tradicionais ICCs-SSVEP. Assim, pessoas com difculdades motoras severas, como pessoas com Esclerose Lateral Amiotrófca (ELA), contam com uma nova alternativa de se comunicar através de sinais cerebrais. Diversas contribuições foram realizadas neste trabalho, como, por exemplo, melhoria do algoritmo extrator de características, denominado Índice de Sincronização Multivariável (ou MSI, do Inglês), para a detecção de potenciais evocados; desenvolvimento de um novo método de detecção de potenciais evocados através da correlação entre modelos multidimensionais (tensores); o desenvolvimento do primeiro estudo sobre a influência de estímulos coloridos na detecção de SSVEPs usando LEDs; a aplicação do conceito de Compressão na detecção de SSVEPs; e, fnalmente, o desenvolvimento de uma nova ICC independente que utiliza o enfoque de Percepção Fundo-Figura (ou FGP, do Inglês).Texthttp://repositorio.ufes.br/handle/10/9683engUniversidade Federal do Espírito SantoDoutorado em Engenharia ElétricaPrograma de Pós-Graduação em Engenharia ElétricaUFESBRCentro TecnológicoSinais cerebraisPercepção fundo-figura (FGP)Potenciais evocados visuais de regime permanente (SSVEP)Interface cérebro-computadorPotencial evocado (Eletrofisiologia)Engenharia Elétrica621.3A novel approach of independent brain-computer interface based on SSVEPinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALtese_10281_TeseDoutoradoRichardTello2016.pdfapplication/pdf12331551http://repositorio.ufes.br/bitstreams/05bafc68-204c-4d6a-8f7b-14a307ed997e/download0dae4547527893319ca299b5e22f6234MD5110/96832024-07-17 16:58:24.901oai:repositorio.ufes.br:10/9683http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-10-15T18:00:05.808141Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv A novel approach of independent brain-computer interface based on SSVEP
title A novel approach of independent brain-computer interface based on SSVEP
spellingShingle A novel approach of independent brain-computer interface based on SSVEP
Tello, Richard Junior Manuel Godinez
Sinais cerebrais
Percepção fundo-figura (FGP)
Potenciais evocados visuais de regime permanente (SSVEP)
Interface cérebro-computador
Potencial evocado (Eletrofisiologia)
Engenharia Elétrica
621.3
title_short A novel approach of independent brain-computer interface based on SSVEP
title_full A novel approach of independent brain-computer interface based on SSVEP
title_fullStr A novel approach of independent brain-computer interface based on SSVEP
title_full_unstemmed A novel approach of independent brain-computer interface based on SSVEP
title_sort A novel approach of independent brain-computer interface based on SSVEP
author Tello, Richard Junior Manuel Godinez
author_facet Tello, Richard Junior Manuel Godinez
author_role author
dc.contributor.advisor-co1.fl_str_mv Ferreira, André
dc.contributor.advisor-co2.fl_str_mv Müller, Sandra Mara Torres
dc.contributor.advisor1.fl_str_mv Bastos Filho, Teodiano Freire
dc.contributor.author.fl_str_mv Tello, Richard Junior Manuel Godinez
dc.contributor.referee1.fl_str_mv Ciarelli, Patrick Marques
dc.contributor.referee2.fl_str_mv Lima, Eduardo Roncon de
dc.contributor.referee3.fl_str_mv Sá, Antônio Maurício Miranda de
contributor_str_mv Ferreira, André
Müller, Sandra Mara Torres
Bastos Filho, Teodiano Freire
Ciarelli, Patrick Marques
Lima, Eduardo Roncon de
Sá, Antônio Maurício Miranda de
dc.subject.por.fl_str_mv Sinais cerebrais
Percepção fundo-figura (FGP)
Potenciais evocados visuais de regime permanente (SSVEP)
Interface cérebro-computador
Potencial evocado (Eletrofisiologia)
topic Sinais cerebrais
Percepção fundo-figura (FGP)
Potenciais evocados visuais de regime permanente (SSVEP)
Interface cérebro-computador
Potencial evocado (Eletrofisiologia)
Engenharia Elétrica
621.3
dc.subject.cnpq.fl_str_mv Engenharia Elétrica
dc.subject.udc.none.fl_str_mv 621.3
description Over the past ten years, Brain Computer Interfaces (BCIs) based on Steady- State Visual Evoked Potentials (SSVEP) have attracted the attention of many researchers due to the promissory results and the high accuracy rates achieved. This type of BCI provides to people with severe neuromotor difficulties the possibility to communicate with the world around them using visual attention modulation to blinking lights at a given frequency. This thesis aiming at developing a new approach of Independent BCI, in which users are not required to perform neuromuscular tasks to select visual targets, a feature that distinguishes it from traditional SSVEP-BCIs. Thus, people with severe motor disabilities as Amyotrophic Lateral Sclerosis (ALS) have a new alternative channel to communicate with the world around them using brain signals. Several contributions were done in this thesis, such as: improvement of the feature extractor called Multivariate Synchronization Index (MSI) for detecting evoked potentials; development of a new method for detecting evoked potentials through correlating multidimensional models (tensors); a first study on the influence of colored stimuli in SSVEPs detection using LEDs; the development of the concept of Compressive sensing applied to SSVEPs; and, finally, the development of a novel independent BCI under an approach named Figure-Ground Perception (FGP)
publishDate 2016
dc.date.issued.fl_str_mv 2016-09-01
dc.date.accessioned.fl_str_mv 2018-08-02T00:01:45Z
dc.date.available.fl_str_mv 2018-08-01
2018-08-02T00:01:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufes.br/handle/10/9683
url http://repositorio.ufes.br/handle/10/9683
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv Text
dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Doutorado em Engenharia Elétrica
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Centro Tecnológico
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Doutorado em Engenharia Elétrica
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institution UFES
reponame_str Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
collection Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
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