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• W2904202273 endingPage "80" @default.
• W2904202273 startingPage "73" @default.
• W2904202273 abstract "The inclusion of muscle forces into the analysis of joint contact forces has improved their accuracy. But it has not been validated if such force and activity calculations are valid during highly dynamic multidirectional movements. The purpose of this study was to validate calculated muscle activation of a lower extremity model with a spherical knee joint for running, sprinting and 90°-cutting. Kinematics, kinetics and lower limb muscle activation of ten participants were investigated in a 3D motion capture setup including EMG. A lower extremity rigid body model was used to calculate the activation of these muscles with an inverse dynamics approach and a cubic cost function. Correlation coefficients were calculated to compare measured and calculated activation. The results showed good correlation of the modelled and calculated data with a few exceptions. The highest average correlations were found during walking (r = 0.81) and the lowest during cutting (r = 0.57). Tibialis anterior had the lowest average correlation (r = 0.33) over all movements while gastrocnemius medius had the highest correlation (r = 0.9). The implementation of a spherical knee joint increased the agreement between measured and modelled activation compared to studies using a hinge joint knee. Although some stabilizing muscles showed low correlations during dynamic movements, the investigated model calculates muscle activity sufficiently." @default.
• W2904202273 created "2018-12-22" @default.
• W2904202273 creator A5007698435 @default.
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• W2904202273 creator A5062548646 @default.
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• W2904202273 date "2019-02-01" @default.
• W2904202273 modified "2023-09-23" @default.
• W2904202273 title "Agreement of measured and calculated muscle activity during highly dynamic movements modelled with a spherical knee joint" @default.
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• W2904202273 doi "https://doi.org/10.1016/j.jbiomech.2018.12.013" @default.
• W2904202273 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30587376" @default.
• W2904202273 hasPublicationYear "2019" @default.
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