000129683 001__ 129683
000129683 005__ 20241125101202.0
000129683 0247_ $$2doi$$a10.3390/s23239336
000129683 0248_ $$2sideral$$a135857
000129683 037__ $$aART-2023-135857
000129683 041__ $$aeng
000129683 100__ $$aRodríguez, Javier$$uUniversidad de Zaragoza
000129683 245__ $$aKeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries
000129683 260__ $$c2023
000129683 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129683 5203_ $$aThe worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner’s anthropometric body characteristics, dexterity and skill. Therefore, this study aims to develop a motion capture-based running analysis test on a treadmill called KeepRunning to obtain running patterns rapidly, which will aid coaches and clinicians in assessing changes in running technique considering changes in the study variables. Therefore, a review and proposal of the most representative events and variables of analysis in running was conducted to develop the KeepRunning test. Likewise, the minimal detectable change (MDC) in these variables was obtained using test–retest reliability to demonstrate the reproducibility and viability of the test, as well as the use of MDC as a threshold for future assessments. The test–retest consisted of 32 healthy volunteer athletes with a running training routine of at least 15 km per week repeating the test twice. In each test, clusters of markers were placed on the runners’ body segments using elastic bands and the volunteers’ movements were captured while running on a treadmill. In this study, reproducibility was defined by the intraclass correlation coefficient (ICC) and MDC, obtaining a mean value of ICC = 0.94 ± 0.05 for all variables and MDC = 2.73 ± 1.16° for the angular kinematic variables. The results obtained in the test–retest reveal that the reproducibility of the test was similar or better than that found in the literature. KeepRunning is a running analysis test that provides data from the involved body segments rapidly and easily interpretable. This data allows clinicians and coaches to objectively provide indications for runners to improve their running technique and avoid possible injury. The proposed test can be used in the future with inertial motion capture and other wearable technologies.
000129683 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000129683 590__ $$a3.4$$b2023
000129683 592__ $$a0.786$$b2023
000129683 591__ $$aCHEMISTRY, ANALYTICAL$$b34 / 106 = 0.321$$c2023$$dQ2$$eT1
000129683 593__ $$aInstrumentation$$c2023$$dQ1
000129683 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b24 / 76 = 0.316$$c2023$$dQ2$$eT1
000129683 593__ $$aAnalytical Chemistry$$c2023$$dQ1
000129683 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b122 / 353 = 0.346$$c2023$$dQ2$$eT2
000129683 593__ $$aAtomic and Molecular Physics, and Optics$$c2023$$dQ1
000129683 593__ $$aInformation Systems$$c2023$$dQ2
000129683 593__ $$aMedicine (miscellaneous)$$c2023$$dQ2
000129683 593__ $$aBiochemistry$$c2023$$dQ2
000129683 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2
000129683 594__ $$a7.3$$b2023
000129683 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129683 700__ $$0(orcid)0000-0003-4527-3267$$aMarín, Javier$$uUniversidad de Zaragoza
000129683 700__ $$0(orcid)0000-0002-1625-1475$$aRoyo, Ana C.$$uUniversidad de Zaragoza
000129683 700__ $$aPadrón, Luis$$uUniversidad de Zaragoza
000129683 700__ $$aPérez-Soto, Manuel$$uUniversidad de Zaragoza
000129683 700__ $$0(orcid)0000-0002-2463-7271$$aMarín, José J.$$uUniversidad de Zaragoza
000129683 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000129683 7102_ $$15002$$2720$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Proyectos de Ingeniería
000129683 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000129683 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000129683 7102_ $$15004$$2590$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Máquinas y Motores Térmi.
000129683 773__ $$g23, 23 (2023), 9336 [25 pp.]$$pSensors$$tSensors$$x1424-8220
000129683 8564_ $$s4255706$$uhttps://zaguan.unizar.es/record/129683/files/texto_completo.pdf$$yVersión publicada
000129683 8564_ $$s2627971$$uhttps://zaguan.unizar.es/record/129683/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129683 909CO $$ooai:zaguan.unizar.es:129683$$particulos$$pdriver
000129683 951__ $$a2024-11-22-12:12:02
000129683 980__ $$aARTICLE