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dc.creatorCastro García, Juan Antonioes
dc.creatorMolina Cantero, Alberto Jesúses
dc.creatorMerino Monge, Manueles
dc.creatorLebrato Vázquez, Claraes
dc.creatorGómez González, Isabel Maríaes
dc.date.accessioned2023-06-12T15:41:02Z
dc.date.available2023-06-12T15:41:02Z
dc.date.issued2023-05
dc.identifier.issn2169-3536es
dc.identifier.urihttps://hdl.handle.net/11441/147096
dc.description.abstractThis paper presents the development of a virtual rehabilitation game and mental load with different difficulty blocks. The game was controlled with body tracking and physiological signals - electrocardiography and electrodermal activity - were recorded throughout the session. Several parameters - heart rate (HR), heart rate variability (HRV), skin conductance level (SCL), skin conductance response (SCR), energy expenditure . . . - were extracted from these signals to check mental load influence on them. Mental load was found to affect the variation in kinetic power and instantaneous heart rate; a Support Vector Machine with linear kernel was trained with these two variables and an 82.3% accuracy rate was obtained. Furthermore, the mental load was reflected in the number of errors made by the volunteers, in the selection time and in the number of rounds in the game.es
dc.formatapplication/pdfes
dc.format.extent13 p.es
dc.language.isoenges
dc.publisherIEEEes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBody trackeres
dc.subjectECGes
dc.subjectEDAes
dc.subjectMental loades
dc.subjectRehabgamees
dc.titleThe Effect of Demanding Mental Tasks on Electrodermal Activity and Heart Rate During Physical Activity: A Pilot Studyes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.projectIDPID2019-104323RB-C32es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10119134es
dc.identifier.doi10.1109/ACCESS.2023.3273303es
dc.contributor.groupUniversidad de Sevilla. TIC022: Tecnologías para la Asistencia, la Integración y la Saludes
dc.journaltitleIEEE Accesses
dc.publication.volumen11es
dc.publication.initialPage46665es
dc.publication.endPage46677es
dc.contributor.funderMCIN/AEI/10.13039/501100011033 of Spain’s Ministry of Science and Innovation under Grant PID2019-104323RB-C32es

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