Ítem
Solo Metadatos

BCI for Meal Assistance Device

Mostrar el registro sencillo de la publicación
dc.creatorSánchez B.C.C.spa
dc.creatorCarvajal L.C.L.spa
dc.creatorQuitian F.L.G.T.spa
dc.creatorLópez J.M.L.spa
dc.date.accessioned2020-05-26T00:10:54Z
dc.date.available2020-05-26T00:10:54Z
dc.date.created2020spa
dc.description.abstractNowadays, in Latin America, a huge amount of people are in a motor disability condition. This phenomenon generates difficulties to execute daily tasks, such as the feeding process. To mitigate the daily difficulties, assistance devices are needed. This paper describes the evaluation of a brain-computer interface (BCI) for meal assistance, based on the sensorimotor rhythm (SMR), characteristic of the movement intention. The electroencephalographic (EEG) signals were acquired and processed to extract features in the frequency and time domain. These features train a classification model that separates the movement intention from any other cerebral activity. The study was made with ten healthy people who were subjected to a test that corresponds to feed themselves ten times. The results obtained show that average time to activate the meal assistance device is less than 10 s, furthermore, the accuracy of the tests performed was 81.6%, i.e. there is a good differentiation between a movement intention from another activity. Finally, it was concluded that the purposed meal assistance device achieves the goal of allowing an autonomous feeding and leaves as a precedent an alternative to implementing assistance devices through a BCI. © 2020, Springer Nature Switzerland AG.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-030-30648-9_145
dc.identifier.issn2006
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24267
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.citationEndPage1121
dc.relation.citationStartPage1117
dc.relation.citationTitleIFMBE Proceedings
dc.relation.citationVolumeVol. 75
dc.relation.ispartofIFMBE Proceedings, ISSN:2006, Vol.75,(2020); pp. 1117-1121spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075643981&doi=10.1007%2f978-3-030-30648-9_145&partnerID=40&md5=7bc90cc8c2ec37bfc3408cbda8221d9aspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordBiophysicsspa
dc.subject.keywordElectroencephalographyspa
dc.subject.keywordClassification modelsspa
dc.subject.keywordElectroencephalographic signalsspa
dc.subject.keywordFrequency and time domainsspa
dc.subject.keywordHealthy peoplespa
dc.subject.keywordMeal assistancespa
dc.subject.keywordMotor disabilityspa
dc.subject.keywordMovement intentionsspa
dc.subject.keywordSensorimotor rhythm (SMR)spa
dc.subject.keywordBrain computer interfacespa
dc.subject.keywordBCIspa
dc.subject.keywordEEGspa
dc.subject.keywordMeal assistancespa
dc.subject.keywordMovement intentionspa
dc.titleBCI for Meal Assistance Devicespa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
Archivos
Colecciones
Artículos