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dc.contributor.authorRuiz Malagón, Emilio J.es-ES
dc.contributor.authorDelgado García, Gabriel Antonioes-ES
dc.contributor.authorCastro Infantes, Santiagoes-ES
dc.contributor.authorRitacco Real, Maximilianoes-ES
dc.contributor.authorSoto Hermoso, Víctor M.es-ES
dc.date.accessioned2025-12-09T11:12:01Z
dc.date.available2025-12-09T11:12:01Z
dc.date.issued2022-09-30es_ES
dc.identifier.issn0263-2241es_ES
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2022es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstract,es-ES
dc.description.abstractPortable and low-cost motion capture systems are gaining importance for biomechanical analysis. The aim was to determine the concurrent validity and reliability of the NOTCH® inertial sensors to measure the elbow angle during tennis forehand at different sampling frequencies (100, 250 and 500 Hz), using an optical capture system with sub-millimetre accuracy as a reference. 15 competitive players performed forehands wearing NOTCH and an upper body marker-set and the signals from both systems were adjusted and synchronized. The error magnitude was tolerable (5-10°) for all joint-axis and sampling frequencies, increasing significantly at 100 Hz for the flexion–extension and pronation-supination angles (p = 0.002 and 0.023; Cohen d > 0.8). Concordance correlation coefficient was very large (0.7–0.9) in all cases. The within-subject error variation between the test–retest did not show significant differences (p > 0.05). NOTCH® is a valid, reliable and portable alternative to measure elbow angles during tennis forehand.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoes-ESes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRevista: Measurement, Periodo: 1, Volumen: 201, Número: , Página inicial: 111666, Página final: .es_ES
dc.titleValidity and reliability of NOTCH® inertial sensors for measuring elbow joint angle during tennis forehand at different sampling frequencies. es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywords.es-ES
dc.keywords.IMU Motion capture3D joint kinematics Racket sports Multi-sensor fusionen-GB


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Creative Commons Reconocimiento-NoComercial-SinObraDerivada España
Except where otherwise noted, this item's license is described as Creative Commons Reconocimiento-NoComercial-SinObraDerivada España