Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training

Detalhes bibliográficos
Autor(a) principal: Cunha, José Diogo Marques da Silva Branco da
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/36308
Resumo: Tese de mestrado integrado, Engenharia Biomédica e Biofísica (Engenharia Clínica e Instrumentação Médica) Universidade de Lisboa, Faculdade de Ciências, 2018
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spelling Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive trainingEletroencefalogramaCérebroInterface cérebro-computadorJogabilidade adaptadaDessincronização relacionada com eventosTeses de mestrado - 2018Departamento de FísicaTese de mestrado integrado, Engenharia Biomédica e Biofísica (Engenharia Clínica e Instrumentação Médica) Universidade de Lisboa, Faculdade de Ciências, 2018Brain-Computer Interface (BCI) technology translates brain signals into messages. BCI users are thus enabled to interact with the environment by thought, or more generally speaking by mental processes. Event-related desynchronization (ERD) based BCIs use the detection of changes in the spontaneous electroencephalogram (EEG) signal. Different mental processes induce power decreases (ERD) or increases (event-related synchronization, ERS) in different frequencies and different areas of the brain. These differences can be measured and classified. Operating a non-invasive EEG based sensorimotor rhythm BCI is a skill that typically requires extensive training. Lately, online co-adaptive feedback training approaches achieved promising results after short periods of training. Does this also mean that users can have meaningful BCI-based interactions after training, when the BCI is no longer adapting, like in a real- life scenario? To answer this question an online study was conducted with 20 naïve (first time) users. After a short (less than 20 minutes) setup, the users trained to gain BCI control by playing a Whack- A-Mole game where they would have to perform Motor Imagery (imagination of a specific movement- MI) to control a hammer to hit a mole. The game was played for about 30 minutes. During this time, the user learns to perform MI with online feedback from the game and the BCI parameters recurrently adapt to the user’s EEG patterns every~1minute. This recurrent adaptation allows different users to use slightly different strategies and produce ERDs in different frequencies and brain areas without loss of performance. After 30 minutes of training the adaptation was stopped and the users continued playing the game with the trained BCI for another 20 minutes. The BCI parameters were calibrated with data from the adaptive stage and kept fixed in the last 20 minutes. Our hypothesis is that once a system was co-adaptively trained it can maintain its performance without recurrent adaptation. Eighteen out of the twenty users were able to control the BCI and play the game. Seventeen out of the eighteen were able to improve or keep performance between adaptive and non-adaptive stage. These results seem to suggest that online co-adaptation is an effective way to gain BCI control.Scherer, ReinholdAndrade, Alexandre da Rocha Freire de, 1971-Repositório da Universidade de LisboaCunha, José Diogo Marques da Silva Branco da2019-01-09T16:33:39Z201820182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/36308TID:202184773enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:32:53Zoai:repositorio.ul.pt:10451/36308Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:50:35.778613Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
title Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
spellingShingle Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
Cunha, José Diogo Marques da Silva Branco da
Eletroencefalograma
Cérebro
Interface cérebro-computador
Jogabilidade adaptada
Dessincronização relacionada com eventos
Teses de mestrado - 2018
Departamento de Física
title_short Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
title_full Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
title_fullStr Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
title_full_unstemmed Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
title_sort Sensorimotor rhythm brain-computer interface – A game-based online co-adaptive training
author Cunha, José Diogo Marques da Silva Branco da
author_facet Cunha, José Diogo Marques da Silva Branco da
author_role author
dc.contributor.none.fl_str_mv Scherer, Reinhold
Andrade, Alexandre da Rocha Freire de, 1971-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Cunha, José Diogo Marques da Silva Branco da
dc.subject.por.fl_str_mv Eletroencefalograma
Cérebro
Interface cérebro-computador
Jogabilidade adaptada
Dessincronização relacionada com eventos
Teses de mestrado - 2018
Departamento de Física
topic Eletroencefalograma
Cérebro
Interface cérebro-computador
Jogabilidade adaptada
Dessincronização relacionada com eventos
Teses de mestrado - 2018
Departamento de Física
description Tese de mestrado integrado, Engenharia Biomédica e Biofísica (Engenharia Clínica e Instrumentação Médica) Universidade de Lisboa, Faculdade de Ciências, 2018
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018-01-01T00:00:00Z
2019-01-09T16:33:39Z
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.uri.fl_str_mv http://hdl.handle.net/10451/36308
TID:202184773
url http://hdl.handle.net/10451/36308
identifier_str_mv TID:202184773
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 application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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