Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR

Detalhes bibliográficos
Autor(a) principal: Almeida, Mariana Silva de
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/57655
Resumo: Tese de Mestrado Integrado, Engenharia Biomédica e Biofísica (Sinais e Imagens Médicas), 2022, Universidade de Lisboa, Faculdade de Ciências
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spelling Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VRNeurofeedbackModalidade sensorialRealidade Virtual ImersivaBanda Alfa Superior IndividualEEGTeses de mestrado - 2022Domínio/Área Científica::Engenharia e Tecnologia::Engenharia MédicaTese de Mestrado Integrado, Engenharia Biomédica e Biofísica (Sinais e Imagens Médicas), 2022, Universidade de Lisboa, Faculdade de CiênciasNeurofeedback (NF) can be defined as a form of biofeedback that trains subjects to have self-control over brain their functions, by providing real-time feedback of their own cerebral activity. This activity can be presented in various forms, with auditory and visual feedback being the most common. Recently, NF has been investigated as a potential treatment for various clinical conditions associated with abnormal brain activity or cognitive capacities. However, the greater research focus is not discussing how the feedback should be presented. The chosen modality for any NF training system may strongly influence the training protocol and consequently the outcome of the experiment. In this thesis, a systematical comparison between two different type of visual modalities (ScreenBased vs. immersive-virtual reality (VR) ) was performed with the goal to evaluate the effectiveness of each modality on the NF training results. Data from two previous studies, recorded on healthy participants, in protocols that targeted the increase in the upper alpha (UA) band power measured at the EEG electrode Cz was used. This was then divided into two modality groups: Screen-Based modality group (N = 8) and the Immersive-VR group (N = 4). An extensive data processing and cleaning protocol was applied to both groups and the training effectiveness was measured through band power calculation, the definition of learning ability indexes and the application of statistical tests. Results showed that, both groups had a generally positive training effect within sessions, however data regarding different sessions is inconclusive and does not show clear evidence of up-regulation of the target feature. Additionally, when only considering within-session evolution, only the Immersive-VR modality group was able to maintain an increasing trend in all sessions. One of the main limitations of this study was the sample size, which was too small to determine the precise effect of NF training. Future work requires, not only an increase in sample size but also, the definition and incorporation of learning predictors that allow the pre-selection of subjects before the training sessions, in order to prevent high number of non-learners.Caetano, GinaVourvopoulos, AthanasiosRepositório da Universidade de LisboaAlmeida, Mariana Silva de2023-05-29T14:28:08Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/57655enginfo: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:RCAAP2023-11-08T17:06:28Zoai:repositorio.ul.pt:10451/57655Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:08:12.399804Repositório 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 Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
title Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
spellingShingle Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
Almeida, Mariana Silva de
Neurofeedback
Modalidade sensorial
Realidade Virtual Imersiva
Banda Alfa Superior Individual
EEG
Teses de mestrado - 2022
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Médica
title_short Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
title_full Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
title_fullStr Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
title_full_unstemmed Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
title_sort Comparing EEG-neurofeedback visual modalities between screen-based and immersive head-mounted VR
author Almeida, Mariana Silva de
author_facet Almeida, Mariana Silva de
author_role author
dc.contributor.none.fl_str_mv Caetano, Gina
Vourvopoulos, Athanasios
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Almeida, Mariana Silva de
dc.subject.por.fl_str_mv Neurofeedback
Modalidade sensorial
Realidade Virtual Imersiva
Banda Alfa Superior Individual
EEG
Teses de mestrado - 2022
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Médica
topic Neurofeedback
Modalidade sensorial
Realidade Virtual Imersiva
Banda Alfa Superior Individual
EEG
Teses de mestrado - 2022
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Médica
description Tese de Mestrado Integrado, Engenharia Biomédica e Biofísica (Sinais e Imagens Médicas), 2022, Universidade de Lisboa, Faculdade de Ciências
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022-01-01T00:00:00Z
2023-05-29T14:28:08Z
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/10451/57655
url http://hdl.handle.net/10451/57655
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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