Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos

Detalhes bibliográficos
Autor(a) principal: Longo, Berthil Borges
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/1351
Resumo: New Assistive Technology (AT) tool has appeared lately. An example are the Virtual Environments (VE) which are important to new ATs development, that can aim to improve the life quality of people with permanent reduced mobility or to promote rehabilitation to people with temporary motor disability. Other tool that appeared some decades ago with computer development can also help in the treatment of motor disability persons, which are called Human Machine-Interface (HMI). Using it together with equipment that can acquire biological signals like Electromyography (EMG) and Electroencephalography (EEG), these tools behave as communication channels between humans and computers, different from the ones usually used. This opens a wide range of possibilities for its usage in the treatment and assistance of motor disability people, which EMG signals can be used to control robotic prosthesis, and EEG signal, when acquired from the motor cortex, can be used in neurorehabilitation. On the other hand, when these signals are captured from the occipital region, the EEG signals can be used to generate commands or used in other purposes. This work presents the development of new tools to be used in AT which uses biological signals. Three different VE where built to assist this kind of research. Furthermore, a commercial EEG equipment was adapted to be used with a HMI, which uses two of the built VE. As results, we have the successful use of the adapted EEG equipment with with SSVEP and motor imagery. Furthermore, the three developed AVs were successfully implemented, which are available for free download to be used in other TA projects.
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spelling Bastos Filho, Teodiano FreireLongo, Berthil BorgesSilva, Adriana Madeira Alvares daDelis, Alberto Lopes2015-04-29T19:20:30Z2016-06-24T06:00:07Z2015-03-052015-03-05New Assistive Technology (AT) tool has appeared lately. An example are the Virtual Environments (VE) which are important to new ATs development, that can aim to improve the life quality of people with permanent reduced mobility or to promote rehabilitation to people with temporary motor disability. Other tool that appeared some decades ago with computer development can also help in the treatment of motor disability persons, which are called Human Machine-Interface (HMI). Using it together with equipment that can acquire biological signals like Electromyography (EMG) and Electroencephalography (EEG), these tools behave as communication channels between humans and computers, different from the ones usually used. This opens a wide range of possibilities for its usage in the treatment and assistance of motor disability people, which EMG signals can be used to control robotic prosthesis, and EEG signal, when acquired from the motor cortex, can be used in neurorehabilitation. On the other hand, when these signals are captured from the occipital region, the EEG signals can be used to generate commands or used in other purposes. This work presents the development of new tools to be used in AT which uses biological signals. Three different VE where built to assist this kind of research. Furthermore, a commercial EEG equipment was adapted to be used with a HMI, which uses two of the built VE. As results, we have the successful use of the adapted EEG equipment with with SSVEP and motor imagery. Furthermore, the three developed AVs were successfully implemented, which are available for free download to be used in other TA projects.Novas ferramentas de Tecnologias Assistivas (TAs) têm aparecido ultimamente. Um exemplo são os Ambientes Virtuais (AVs), os quais são importantes para o desenvolvimento de novas TAs, que podem ser direcionadas para promoverem uma melhor qualidade de vida de pessoas com mobilidade reduzida permanente ou promover a reabilitação de pessoas com deficiência motora temporária. Outras ferramentas, que surgiram há algumas décadas com o desenvolvimento dos computadores, também ajudam no tratamento de pessoas com deficiência motora, que são as Interfaces Humano-Máquina (IHM). Utilizando em conjunto com equipamentos que capturam sinais biológicos, como equipamentos de Eletromiografia (EMG) e Eletroencefalografia (EEG), essas ferramentas se configuram como canais de comunicações entre o ser humano e os computadores, diferentemente das comumente utilizadas. Isso abre uma gama de possibilidades para sua utilização no tratamento e na assistência de pessoas com deficiência motora, onde sinais EMG podem ser utilizados para controlar próteses robóticas; e sinais EEG, quando capturados da região do córtex motor, podem ser utilizados em neuroreabilitação. Por outro lado, quando capturados na região occipital, os sinais de EEG podem ser utilizados para gerar comandos e outras finalidades. Este trabalho apresenta o desenvolvimento de novas ferramentas para auxiliar em pesquisas de TAs envolvendo sinais biológicos. Três diferentes AVs foram desenvolvidos para auxiliar nesse tipo de pesquisa. Além deles, um equipamento EEG comercial foi adaptado para ser utilizado com uma IHM, o qual utiliza dois desses três AVs desenvolvidos. Como resultados, temos a utilização bem sucedida do equipamento EEG obtido com sua utilização com SSVEP e Imaginação motora, além da implementação com sucesso dos três AVs desenvolvidos, que estão disponíveis para download gratuito, e que podem ser utilizados em demais pesquisas envolvendo TAs.CAPESTexthttp://repositorio.ufes.br/handle/10/1351porUniversidade Federal do Espírito SantoMestrado em BiotecnologiaPrograma de Pós-Graduação em BiotecnologiaUFESBRCentro de Ciências da SaúdeEngenharia biomédicaEletroencefalografiaBiotecnologiaBiotecnologia61Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESCAPESORIGINALDissertação Berthil Borges Longo.pdfDissertação Berthil Borges Longo.pdfTexto completoapplication/pdf1938483http://repositorio.ufes.br/bitstreams/dd58fde1-0531-4dde-9461-124193d4a9cd/download3ca514e950f7320a724e099f66c34f97MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.ufes.br/bitstreams/c298ec40-eec6-4b36-bf53-b06c18446cd5/download4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-822762http://repositorio.ufes.br/bitstreams/f886c10a-9ef4-4821-acb7-d526fd181d9b/downloadfda13080e892f3f68def2b8b70227968MD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-823148http://repositorio.ufes.br/bitstreams/8e8849c9-6c4a-4c4d-af3d-31df77c8fd03/download9da0b6dfac957114c6a7714714b86306MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ufes.br/bitstreams/cfd87bb9-7e85-4795-ac7f-44629063e82b/download8a4605be74aa9ea9d79846c1fba20a33MD5510/13512024-07-16 17:09:33.292oai:repositorio.ufes.br:10/1351http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-10-15T18:00:49.946028Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)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
dc.title.none.fl_str_mv Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
title Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
spellingShingle Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
Longo, Berthil Borges
Biotecnologia
Engenharia biomédica
Eletroencefalografia
Biotecnologia
61
title_short Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
title_full Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
title_fullStr Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
title_full_unstemmed Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
title_sort Desenvolvimento de ferramentas para pesquisas em tecnologias assistivas baseadas em sinais biológicos
author Longo, Berthil Borges
author_facet Longo, Berthil Borges
author_role author
dc.contributor.advisor1.fl_str_mv Bastos Filho, Teodiano Freire
dc.contributor.author.fl_str_mv Longo, Berthil Borges
dc.contributor.referee1.fl_str_mv Silva, Adriana Madeira Alvares da
dc.contributor.referee2.fl_str_mv Delis, Alberto Lopes
contributor_str_mv Bastos Filho, Teodiano Freire
Silva, Adriana Madeira Alvares da
Delis, Alberto Lopes
dc.subject.cnpq.fl_str_mv Biotecnologia
topic Biotecnologia
Engenharia biomédica
Eletroencefalografia
Biotecnologia
61
dc.subject.br-rjbn.none.fl_str_mv Engenharia biomédica
Eletroencefalografia
Biotecnologia
dc.subject.udc.none.fl_str_mv 61
description New Assistive Technology (AT) tool has appeared lately. An example are the Virtual Environments (VE) which are important to new ATs development, that can aim to improve the life quality of people with permanent reduced mobility or to promote rehabilitation to people with temporary motor disability. Other tool that appeared some decades ago with computer development can also help in the treatment of motor disability persons, which are called Human Machine-Interface (HMI). Using it together with equipment that can acquire biological signals like Electromyography (EMG) and Electroencephalography (EEG), these tools behave as communication channels between humans and computers, different from the ones usually used. This opens a wide range of possibilities for its usage in the treatment and assistance of motor disability people, which EMG signals can be used to control robotic prosthesis, and EEG signal, when acquired from the motor cortex, can be used in neurorehabilitation. On the other hand, when these signals are captured from the occipital region, the EEG signals can be used to generate commands or used in other purposes. This work presents the development of new tools to be used in AT which uses biological signals. Three different VE where built to assist this kind of research. Furthermore, a commercial EEG equipment was adapted to be used with a HMI, which uses two of the built VE. As results, we have the successful use of the adapted EEG equipment with with SSVEP and motor imagery. Furthermore, the three developed AVs were successfully implemented, which are available for free download to be used in other TA projects.
publishDate 2015
dc.date.submitted.none.fl_str_mv 2015-03-05
dc.date.accessioned.fl_str_mv 2015-04-29T19:20:30Z
dc.date.issued.fl_str_mv 2015-03-05
dc.date.available.fl_str_mv 2016-06-24T06:00:07Z
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dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Biotecnologia
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Biotecnologia
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Centro de Ciências da Saúde
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Biotecnologia
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