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Development and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performance

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dc.contributor.authorVourvopoulos, Athanasios
dc.contributor.authorFerreira, André
dc.contributor.authorBermúdez i Badia, Sergi
dc.date.accessioned2019-12-11T14:37:58Z
dc.date.available2019-12-11T14:37:58Z
dc.date.issued2019
dc.description.abstractMotor-Imagery based Brain-Computer Interfaces (BCIs) can provide alternative communication pathways to neurologically impaired patients. The combination of BCIs and Virtual Reality (VR) can provide induced illusions of movement to patients with low-level of motor control during motor rehabilitation tasks. Unfortunately, current BCI systems lack reliability and good performance levels in comparison with other types of computer interfaces. To date, there is little evidence on how BCI-based motor training needs to be designed for transferring rehabilitation improvements to real life. Based on our previous work, we showcase the development and assessment of NeuRow, a novel multiplatform immersive VR environment that makes use of multimodal stimulation through vision, sound and vibrotactile feedback and delivered through a VR Head Mounted Display. In addition, we integrated the Adaptive Performance Engine (APE), a statistical approach to optimize user control in a selfpaced BCI-VR paradigm. In this paper, we describe the development and pilot assessment of NeuRow as well as its integration and assessment with APE.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVourvopoulos, A., Ferreira, A., & Bermúdez i Badia, S. B. (2019). Development and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performance. In Physiological Computing Systems: International Conferences PhyCS 2016, Lisbon, Portugal, July 27–28, 2016 PhyCS 2017, Madrid, Spain, July 27–28, 2017 PhyCS 2018, Seville, Spain, September 19–21, 2018 Revised and Extended Selected Papers (pp. 1-22). Springer.pt_PT
dc.identifier.doi10.1007/978-3-030-27950-9_1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2646
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
dc.subjectBrain-computer interfacespt_PT
dc.subjectMotor imagerypt_PT
dc.subjectVirtual realitypt_PT
dc.subjectAdaptive performancept_PT
dc.subjectNeurorehabilitationpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleDevelopment and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performancept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F97117%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.endPage22pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titlePhysiological Computing Systems: International Conferences PhyCS 2016pt_PT
oaire.citation.volume10057pt_PT
oaire.fundingStream5876
person.familyNameVourvopoulos
person.familyNameBermúdez i Badia
person.givenNameAthanasios
person.givenNameSergi
person.identifier279446
person.identifier239789
person.identifier.ciencia-id5813-A481-A9D3
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0001-9676-8599
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridF-3872-2017
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id48762198300
person.identifier.scopus-author-id6506360007
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
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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