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Impact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCI

2022Journal article Open access
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dc.contributor.authorBlanco-Mora, D. A.
dc.contributor.authorAldridge, A.
dc.contributor.authorJorge, C.
dc.contributor.authorVourvopoulos, A.
dc.contributor.authorFigueiredo, P.
dc.contributor.authorBermúdez i Badia, S.
dc.date.accessioned2022-07-22T11:08:49Z
dc.date.available2022-07-22T11:08:49Z
dc.date.issued2022
dc.description.abstractThere are many factors outlined in the signal processing pipeline that impact brain–computer interface (BCI) performance, but some methodological factors do not depend on signal processing. Nevertheless, there is a lack of research assessing the effect of such factors. Here, we investigate the impact of VR, immersiveness, age, and spatial resolution on the classifier performance of a Motor Imagery (MI) electroencephalography (EEG)-based BCI in naïve participants. We found significantly better performance for VR compared to non-VR (15 electrodes: VR 77.48 ± 6.09%, non-VR 73.5 ± 5.89%, p = 0.0096; 12 electrodes: VR 73.26 ± 5.2%, non-VR 70.87 ± 4.96%, p = 0.0129; 7 electrodes: VR 66.74 ± 5.92%, non-VR 63.09 ± 8.16%, p = 0.0362) and better performance for higher electrode quantity, but no significant differences were found between immersive and non immersive VR. Finally, there was not a statistically significant correlation found between age and classifier performance, but there was a direct relation found between spatial resolution (electrode quantity) and classifier performance (r = 1, p = 0.0129, VR; r = 0.99, p = 0.0859, non-VR).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBlanco-Mora, D. A., Aldridge, A., Jorge, C., Vourvopoulos, A., Figueiredo, P., & Bermúdez i Badia, S. (2022). Impact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCI. Brain-Computer Interfaces, 9 (3)..pt_PT
dc.identifier.doi10.1080/2326263X.2022.2054606pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4452
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor and Francispt_PT
dc.relationNOVA Laboratory for Computer Science and Informatics
dc.relationLaboratory of Robotics and Engineering Systems
dc.relationStroke Neurorehabilitation Augmented by Virtual Reality and EEG-neurofeedback: Neuroimaging-based Validation and Optimization
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMotor imagerypt_PT
dc.subjectBrain-computer interfacespt_PT
dc.subjectVirtual realitypt_PT
dc.subjectClassifier performancept_PT
dc.subjectEEGpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleImpact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCIpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNOVA Laboratory for Computer Science and Informatics
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardTitleStroke Neurorehabilitation Augmented by Virtual Reality and EEG-neurofeedback: Neuroimaging-based Validation and Optimization
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F31485%2F2017/PT
oaire.citation.endPage178pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage169pt_PT
oaire.citation.titleBrain-Computer Interfacespt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
person.familyNameBlanco Mora
person.familyNameAldridge
person.familyNameJorge
person.familyNameVourvopoulos
person.familyNameFigueiredo
person.familyNameBermúdez i Badia
person.givenNameDiego Andres
person.givenNameAudrey
person.givenNameCarolina
person.givenNameAthanasios
person.givenNamePatricia
person.givenNameSergi
person.identifier279446
person.identifier239789
person.identifier.ciencia-id491D-BBB7-6979
person.identifier.ciencia-id5813-A481-A9D3
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person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0003-2232-0999
person.identifier.orcid0000-0003-3733-4736
person.identifier.orcid0000-0002-7693-7292
person.identifier.orcid0000-0001-9676-8599
person.identifier.orcid0000-0002-0743-0869
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridC-7778-2018
person.identifier.ridF-3872-2017
person.identifier.ridA-1194-2013
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id48762198300
person.identifier.scopus-author-id7003529050
person.identifier.scopus-author-id6506360007
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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