Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/91352
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Campo DC | Valor | Idioma |
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dc.contributor.author | Rocha, Ana Carolina | por |
dc.contributor.author | Pinheiro, Cristiana Filipa Sampaio | por |
dc.contributor.author | Sieghartsleitner, Sebastian | por |
dc.contributor.author | Guger, Christoph | por |
dc.contributor.author | Santos, Cristina | por |
dc.date.accessioned | 2024-05-14T14:21:16Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.uri | https://hdl.handle.net/1822/91352 | - |
dc.description.abstract | Parkinson’s disease (PD) compromises motor function, leading to severe involuntary tremors, impacting the daily lives of patients who suffer from this neurodegenerative disease. Functional electrical stimulation offers a possible solution to mitigate this symptom. Its combination with braincomputer interface (BCI) based on electroencephalography (EEG) can provide real-time feedback during therapy, enhancing motivation and fostering neuroplasticity through motor imagery. This study explores EEG response during motor imagery of multiple tasks with the dominant arm including both intentional and not intentional tremors in healthy participants. The tasks comprise the imagery of wrist dorsiflexion, arm extension, and rest-to-nose, being the last two part of the Movement Disorder Society Unified Parkinson’s Disease Rating Scale. Results suggest that arm extension with intentional tremors or wrist dorsiflexion are suitable tasks for motor imagery with similar strong ERDs. The preliminary results are promising for further design of a novel BCI system targeting the reduction of tremors in PD. | por |
dc.description.sponsorship | This work has been supported by the Fundação para a Ciência e Tecnologia under the scholarship reference 2020.05709.BD, under the national support to R&D units grant through the reference project UIDB/04436/2020 and UIDP/04436/2020. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation | 2022.05844.PTDC | por |
dc.relation | info:eu-repo/grantAgreement/FCT/POR_NORTE/2020.05709.BD/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04436%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04436%2F2020/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | BCI | por |
dc.subject | EEG | por |
dc.subject | Motor imagery | por |
dc.subject | Parkinson’s disease | por |
dc.subject | Tremor | por |
dc.title | EEG assessment of intentional tremor during motor imagery | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationConferencePlace | Paredes de Coura, Portugal | por |
dc.date.embargo | 10000-01-01 | - |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Médica | por |
sdum.conferencePublication | IEEE International Conference on Autonomous Robot Systems and Competitions 2024 (ICARSC 2024) | por |
oaire.version | P | por |
Aparece nas coleções: | CMEMS - Artigos em livros de atas/Papers in proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2024088099.pdf Acesso restrito! | 493,61 kB | Adobe PDF | Ver/Abrir |