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Journal Abstract Search

170 related items for PubMed ID: 30595981

  • 1. The feasibility of predicting ground reaction forces during running from a trunk accelerometry driven mass-spring-damper model.
    Nedergaard NJ, Verheul J, Drust B, Etchells T, Lisboa P, Robinson MA, Vanrenterghem J.
    PeerJ; 2018; 6():e6105. PubMed ID: 30595981
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  • 3. Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution.
    Alcantara RS, Edwards WB, Millet GY, Grabowski AM.
    PeerJ; 2022; 10():e12752. PubMed ID: 35036107
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  • 6. Whole-body biomechanical load in running-based sports: The validity of estimating ground reaction forces from segmental accelerations.
    Verheul J, Gregson W, Lisboa P, Vanrenterghem J, Robinson MA.
    J Sci Med Sport; 2019 Jun; 22(6):716-722. PubMed ID: 30594457
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  • 9. Mechanical loading prediction through accelerometry data during walking and running.
    Veras L, Diniz-Sousa F, Boppre G, Resende-Coelho A, Moutinho-Ribeiro E, Devezas V, Santos-Sousa H, Preto J, Vilas-Boas JP, Machado L, Oliveira J, Fonseca H.
    Eur J Sport Sci; 2023 Aug; 23(8):1518-1527. PubMed ID: 35838070
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  • 12. Identifying generalised segmental acceleration patterns that contribute to ground reaction force features across different running tasks.
    Verheul J, Warmenhoven J, Lisboa P, Gregson W, Vanrenterghem J, Robinson MA.
    J Sci Med Sport; 2019 Dec; 22(12):1355-1360. PubMed ID: 31445948
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  • 15. A general relationship links gait mechanics and running ground reaction forces.
    Clark KP, Ryan LJ, Weyand PG.
    J Exp Biol; 2017 Jan 15; 220(Pt 2):247-258. PubMed ID: 27811299
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  • 19. Use of accelerometry to classify activity beneficial to bone in premenopausal women.
    Stiles VH, Griew PJ, Rowlands AV.
    Med Sci Sports Exerc; 2013 Dec 15; 45(12):2353-61. PubMed ID: 23698245
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