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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorMarco Ahulló, Adria
dc.contributor.authorMontesinos Magraner, Lluisa
dc.contributor.authorGonzalez, Luis-Millán
dc.contributor.authorLlorens, Roberto
dc.contributor.authorSegura Navarro, Xurxo
dc.contributor.authorGarcía-Massó, Xavier
dc.date.accessioned2022-03-14T13:26:24Z
dc.date.available2022-03-14T13:26:24Z
dc.date.issued2021-02-22
dc.identifier.citationMarco-Ahulló A, Montesinos-Magraner L, Gonzalez LM, Llorens R, Segura-Navarro X, García-Massó X. Validation of Using Smartphone Built-In Accelerometers to Estimate the Active Energy Expenditures of Full-Time Manual Wheelchair Users with Spinal Cord Injury. Sensors (Basel). 2021 Feb 22;21(4):1498.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/11351/7169
dc.descriptionEnergy expenditure; Smartphone; Spinal cord injury
dc.description.abstractThis study aimed to investigate the validity of using built-in smartphone accelerometers to estimate the active energy expenditures of full-time manual wheelchair users with spinal cord injury (SCI). Twenty participants with complete SCI completed 10 5-min daily activities that involved the upper limbs, during which their oxygen consumption and upper limb activity were registered using a portable gas analyzer and a smartphone (placed on the non-dominant arm), respectively. Time series of 1-min averaged oxygen consumption and 55 accelerometer variables (13 variables for each of the four axes and three additional variables for the correlations between axes) were used to estimate three multiple linear models, using a 10-fold cross-validation method. The results showed that models that included either all variables and models or that only included the linear variables showed comparable performance, with a correlation of 0.72. Slightly worse general performance was demonstrated by the model that only included non-linear variables, although it proved to be more accurate at estimating the energy expenditures (EE) during specific tasks. These results suggest that smartphones could be a promising low-cost alternative to laboratory-grade accelerometers to estimate the energy expenditure of wheelchair users with spinal cord injury during daily activities.
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesSensors;21(4)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectMedul·la espinal - Malalties - Diagnòstic
dc.subjectMetabolisme energètic
dc.subjectMonitoratge de pacients
dc.subject.meshSpinal Cord Injuries
dc.subject.mesh/diagnosis
dc.subject.meshEnergy Metabolism
dc.subject.meshMonitoring, Ambulatory
dc.titleValidation of Using Smartphone Built-In Accelerometers to Estimate the Active Energy Expenditures of Full-Time Manual Wheelchair Users with Spinal Cord Injury
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3390/s21041498
dc.identifier.doi33671481
dc.subject.decstraumatismos de la médula espinal
dc.subject.decs/diagnóstico
dc.subject.decsmetabolismo energético
dc.subject.decsmonitorización ambulatoria
dc.relation.publishversionhttps://doi.org/10.3390/s21041498
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Marco-Ahulló A, Montesinos-Magraner L, Segura-Navarro X] Unitat de Lesionats Medul·lars del Servei de Rehabilitació i Medicina Física, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Gonzalez LM] Departamento de Educación Física y Deportiva, Universidad de Valencia, 46010 Valencia, Spain. [Llorens R] Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, Spain. NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, 46007 Valencia, Spain. [García-Massó X] Departamento de Expresión Musical, Plástica y Corporal, University of Valencia, 46022 Valencia, Spain
dc.identifier.wos000624651900001
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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