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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

162 related items for PubMed ID: 34833779

  • 21. A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units.
    Mundt M, Johnson WR, Potthast W, Markert B, Mian A, Alderson J.
    Sensors (Basel); 2021 Jul 01; 21(13):. PubMed ID: 34283080
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  • 22. Estimation of joint forces and moments for the in-run and take-off in ski jumping based on measurements with wearable inertial sensors.
    Logar G, Munih M.
    Sensors (Basel); 2015 May 13; 15(5):11258-76. PubMed ID: 25985167
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  • 23. Sex-based differences in landing mechanics vary between the drop vertical jump and stop jump.
    Peebles AT, Dickerson LC, Renner KE, Queen RM.
    J Biomech; 2020 May 22; 105():109818. PubMed ID: 32423549
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  • 25. Optimum Drop Jump Height in Division III Athletes: Under 75% of Vertical Jump Height.
    Peng HT, Khuat CT, Kernozek TW, Wallace BJ, Lo SL, Song CY.
    Int J Sports Med; 2017 Oct 22; 38(11):842-846. PubMed ID: 28895621
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  • 28. A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors.
    Moghadam SM, Yeung T, Choisne J.
    Sci Rep; 2023 Mar 28; 13(1):5046. PubMed ID: 36977706
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  • 30. Effects of an Intervention Program on Lower Extremity Biomechanics in Stop-Jump and Side-Cutting Tasks.
    Yang C, Yao W, Garrett WE, Givens DL, Hacke J, Liu H, Yu B.
    Am J Sports Med; 2018 Oct 28; 46(12):3014-3022. PubMed ID: 30148646
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  • 31. Volitional Spine Stabilization During a Drop Vertical Jump From Different Landing Heights: Implications for Anterior Cruciate Ligament Injury.
    Haddas R, Hooper T, James CR, Sizer PS.
    J Athl Train; 2016 Dec 28; 51(12):1003-1012. PubMed ID: 27874298
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  • 33. Drop-Jump Landing Varies With Baseline Neurocognition: Implications for Anterior Cruciate Ligament Injury Risk and Prevention.
    Herman DC, Barth JT.
    Am J Sports Med; 2016 Sep 28; 44(9):2347-53. PubMed ID: 27474381
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  • 35. Indirect Estimation of Vertical Ground Reaction Force from a Body-Mounted INS/GPS Using Machine Learning.
    Sharma D, Davidson P, Müller P, Piché R.
    Sensors (Basel); 2021 Feb 23; 21(4):. PubMed ID: 33672353
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  • 36. Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system.
    Faber GS, Chang CC, Kingma I, Dennerlein JT, van Dieën JH.
    J Biomech; 2016 Apr 11; 49(6):904-912. PubMed ID: 26795123
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