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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

219 related items for PubMed ID: 23300725

  • 1. EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity.
    Sartori M, Reggiani M, Farina D, Lloyd DG.
    PLoS One; 2012; 7(12):e52618. PubMed ID: 23300725
    [Abstract] [Full Text] [Related]

  • 2. Contributions to the understanding of gait control.
    Simonsen EB.
    Dan Med J; 2014 Apr; 61(4):B4823. PubMed ID: 24814597
    [Abstract] [Full Text] [Related]

  • 3. Inferring Muscle-Tendon Unit Power from Ankle Joint Power during the Push-Off Phase of Human Walking: Insights from a Multiarticular EMG-Driven Model.
    Honert EC, Zelik KE.
    PLoS One; 2016 Apr; 11(10):e0163169. PubMed ID: 27764110
    [Abstract] [Full Text] [Related]

  • 4. Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization.
    Sartori M, Farina D, Lloyd DG.
    J Biomech; 2014 Nov 28; 47(15):3613-21. PubMed ID: 25458151
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  • 5. Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion.
    Sartori M, Maculan M, Pizzolato C, Reggiani M, Farina D.
    J Neurophysiol; 2015 Oct 28; 114(4):2509-27. PubMed ID: 26245321
    [Abstract] [Full Text] [Related]

  • 6. Mechanical and morphological properties of different muscle-tendon units in the lower extremity and running mechanics: effect of aging and physical activity.
    Karamanidis K, Arampatzis A.
    J Exp Biol; 2005 Oct 28; 208(Pt 20):3907-23. PubMed ID: 16215218
    [Abstract] [Full Text] [Related]

  • 7. Coordination of two-joint rectus femoris and hamstrings during the swing phase of human walking and running.
    Prilutsky BI, Gregor RJ, Ryan MM.
    Exp Brain Res; 1998 Jun 28; 120(4):479-86. PubMed ID: 9655233
    [Abstract] [Full Text] [Related]

  • 8. A comparison of optimisation methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings.
    Mokhtarzadeh H, Perraton L, Fok L, Muñoz MA, Clark R, Pivonka P, Bryant AL.
    J Biomech; 2014 Sep 22; 47(12):2863-8. PubMed ID: 25129166
    [Abstract] [Full Text] [Related]

  • 9. Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces.
    Gerus P, Sartori M, Besier TF, Fregly BJ, Delp SL, Banks SA, Pandy MG, D'Lima DD, Lloyd DG.
    J Biomech; 2013 Nov 15; 46(16):2778-86. PubMed ID: 24074941
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  • 11. A neuromusculoskeletal model of the human lower limb: towards EMG-driven actuation of multiple joints in powered orthoses.
    Sartori M, Reggiani M, Lloyd DG, Pagello E.
    IEEE Int Conf Rehabil Robot; 2011 Nov 15; 2011():5975441. PubMed ID: 22275641
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  • 13. Calibration of EMG to force for knee muscles is applicable with submaximal voluntary contractions.
    Doorenbosch CA, Joosten A, Harlaar J.
    J Electromyogr Kinesiol; 2005 Aug 15; 15(4):429-35. PubMed ID: 15811613
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  • 15. Lower extremity EMG-driven modeling of walking with automated adjustment of musculoskeletal geometry.
    Meyer AJ, Patten C, Fregly BJ.
    PLoS One; 2017 Aug 15; 12(7):e0179698. PubMed ID: 28700708
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  • 17. Feasibility of using EMG driven neuromusculoskeletal model for prediction of dynamic movement of the elbow.
    Koo TK, Mak AF.
    J Electromyogr Kinesiol; 2005 Feb 15; 15(1):12-26. PubMed ID: 15642650
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