Understanding the kinematic changes underlying fatigue is essential in running biomechanics. The aim of this study was to identify fatigue-related kinematic changes in elite runners using a support vector machine approach. Full-body kinematics of thirteen trained runners were recorded in a non-fatigued and a fatigued state during treadmill running at their individual fatigue-speed. A support vector machine was trained and used to identify kinematic differences between the non-fatigued and fatigued state based on principal component scores. Strides during non-fatigued and fatigued running could be separated with 99.4% classi?cation accuracy. Four upper limb (two shoulder and two elbow), four lower limb (one ankle, two knee and one hip) and two trunk (one thoracic and one lumbar spine) principal component scores were identified as most discriminative kinematic features between non-fatigued and fatigued running. The findings of the study suggest the feasibility of a support vector machine approach to identify subtle fatigue-related kinematic changes in elite runners. The application of a SVMon full body kinematics proved to be capable to discriminate running between a fatigued and non-fatigued state. The high classification rate indicated the significance of biomechanical differences due to fatigue in elite runners. Discriminative kinematic features were identified on the upper and lower body.Fatigue-related kinematic changes might be associated with the loading of body structures and may help to understand potential biomechanical changes due to overuse. Future research is requested on the combination of the presented approach with wearable measurement technology. Consequently, fatigue-related kinematic changes could be identified under field conditions and could be taken into account byathletes and coaches when analyzing training adaptations and/or a runner`s injury risk.
© Copyright 2020 ISBS Proceedings Archive (Michigan). Northern Michigan University. Julkaistu Tekijä International Society of Biomechanics in Sports. Kaikki oikeudet pidätetään. / Kääntänyt https://www.DeepL.com/Translator