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dc.contributor.authorTorner Ribé, Jordi
dc.contributor.authorSkouras, Stavros
dc.contributor.authorMolinuevo, José Luis
dc.contributor.authorGispert, Juan Domingo
dc.contributor.authorAlpiste Penalba, Francesc
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Expressió Gràfica a l'Enginyeria
dc.date.accessioned2019-10-09T18:21:14Z
dc.date.available2021-08-04T00:29:37Z
dc.date.issued2019-08-26
dc.identifier.citationJordi Torner [et al.]. Multipurpose virtual reality environment for biomedical and health applications. "IEEE transactions on neural systems and rehabilitation engineering", 26 Agost 2019, vol. 27, núm. 8, p. 1511-1520.
dc.identifier.issn1534-4320
dc.identifier.urihttp://hdl.handle.net/2117/169593
dc.description.abstractVirtual reality is a trending, widely accessible, and contemporary technology of increasing utility to biomedical and health applications. However, most implementations of virtual reality environments are tailored to specific applications. We describe the complete development of a novel, open-source virtual reality environment that is suitable for multipurpose biomedical and healthcare applications. This environment can be interfaced with different hardware and data sources, ranging from gyroscopes to fMRI scanners. The developed environment simulates an immersive (first-person perspective) run in the countryside, in a virtual landscape with various salient features. The utility of the developed VR environment has been validated via two test applications: an application in the context of motor rehabilitation following injury of the lower limbs and an application in the context of real-time functional magnetic resonance imaging neurofeedback, to regulate brain function in specific brain regions of interest. Both applications were tested by pilot subjects that unanimously provided very positive feedback, suggesting that appropriately designed VR environments can indeed be robustly and efficiently used for multiple biomedical purposes. We attribute the versatility of our approach on three principles implicit in the design: selectivity, immersiveness, and adaptability. The software, including both applications, is publicly available free of charge, via a GitHub repository, in support of the Open Science Initiative. Although using this software requires specialized hardware and engineering know-how, we anticipate our contribution to catalyze further progress, interdisciplinary collaborations and replicability, with regards to the usage of virtual reality in biomedical and health applications.
dc.format.extent10 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshVirtual reality
dc.subject.lcshBioengineering
dc.subject.otherTraining
dc.subject.otherVirtual reality
dc.subject.otherReal-time systems
dc.subject.otherNeurofeedback
dc.subject.otherHardware
dc.subject.otherOpen source software
dc.titleMultipurpose virtual reality environment for biomedical and health applications
dc.typeArticle
dc.subject.lemacRealitat virtual
dc.subject.lemacBioenginyeria
dc.contributor.groupUniversitat Politècnica de Catalunya. LAM - Laboratori d'Aplicacions Multimèdia i TIC
dc.identifier.doi10.1109/TNSRE.2019.2926786
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8755882
dc.rights.accessOpen Access
local.identifier.drac25820250
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/707730/EU/Multiregional rtfMRI Neurofeedback for the Prevention of Alzheimer's Disease/NPAD
local.citation.authorJordi Torner; Skouras, S.; Molinuevo, J.; Gispert, J. D.; Alpiste, F.
local.citation.publicationNameIEEE transactions on neural systems and rehabilitation engineering
local.citation.volume27
local.citation.number8
local.citation.startingPage1511
local.citation.endingPage1520


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