6533b86cfe1ef96bd12c8ca6
RESEARCH PRODUCT
Validation of Using Smartphone Built-In Accelerometers to Estimate the Active Energy Expenditures of Full-Time Manual Wheelchair Users with Spinal Cord Injury
Xurxo Segura-navarroRoberto LlorensLuis-millán GonzálezXavier García MassóAdrià Marco-ahullóLluïsa Montesinos-magranersubject
030506 rehabilitationActivities of daily livingMedul·la espinal - Malalties - DiagnòsticComputer sciencephysical activitylcsh:Chemical technologyAccelerometersmartphoneBiochemistryAnalytical Chemistry0302 clinical medicineWheelchairAccelerometryenergy expenditure:Other subheadings::/diagnosis [Other subheadings]lcsh:TP1-1185:Wounds and Injuries::Spinal Cord Injuries [DISEASES]InstrumentationSpinal cord injuryCommunicationAtomic and Molecular Physics and OpticsSmartphone0305 other medical science:diagnóstico::técnicas y procedimientos diagnósticos::monitorización fisiológica::monitorización ambulatoria [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]medicine.medical_specialtyMetabolisme energèticFull-time:Otros calificadores::/diagnóstico [Otros calificadores]Physical activityMonitoring Ambulatory:heridas y lesiones::traumatismos de la médula espinal [ENFERMEDADES]Spinal cord injury03 medical and health sciencesPhysical medicine and rehabilitationTEORIA DE LA SEÑAL Y COMUNICACIONESmedicineMonitoratge de pacientsHumansElectrical and Electronic EngineeringSpinal Cord InjuriesPhysical activity:metabolismo::metabolismo energético [FENÓMENOS Y PROCESOS]030229 sport sciencesmedicine.diseaseGas analyzerspinal cord injury:Metabolism::Energy Metabolism [PHENOMENA AND PROCESSES]Wheelchairs:Diagnosis::Diagnostic Techniques and Procedures::Monitoring Physiologic::Monitoring Ambulatory [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]Energy expenditureEnergy MetabolismEnergy (signal processing)description
[EN] This 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-02-22 | Sensors (Basel, Switzerland) |