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    Quantifying Variability in Lumbar L4 L5 Soft Tissue Properties for Use in Finite Element Analysis 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 003:;page 31007
    Author(s): Coombs, Dana J.; Rullkoetter, Paul J.; Laz, Peter J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Soft tissue structures of the L4L5 level of the human lumbar spine are represented in finiteelement (FE) models, which are used to evaluate spine biomechanics and implant performance. These models typically use average ...
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    The Effects of Prosthesis Inertial Parameters on Inverse Dynamics: A Probabilistic Analysis 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 002 ):;issue: 003:;page 31003
    Author(s): Gaffney, Brecca M. M.; Christiansen, Cory L.; Murray, Amanda M.; Myers, Casey A.; Laz, Peter J.; Davidson, Bradley S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Joint kinetic measurement is a fundamental tool used to quantify compensatory movement patterns in participants with transtibial amputation (TTA). Joint kinetics are calculated through inverse dynamics (ID) and depend on ...
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    Deciphering the “Art” in Modeling and Simulation of the Knee Joint: Overall Strategy 

    Source: Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 007:;page 71002
    Author(s): Erdemir, Ahmet; Besier, Thor F.; Halloran, Jason P.; Imhauser, Carl W.; Laz, Peter J.; Morrison, Tina M.; Shelburne, Kevin B.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Recent explorations of knee biomechanics have benefited from computational modeling, specifically leveraging advancements in finite element analysis and rigid body dynamics of joint and tissue mechanics. A large number of ...
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    Deciphering the “Art” in Modeling and Simulation of the Knee Joint: Variations in Model Development 

    Source: Journal of Biomechanical Engineering:;2021:;volume( 143 ):;issue: 006:;page 061002-1
    Author(s): Rooks, Nynke B.; Schneider, Marco T. Y.; Erdemir, Ahmet; Halloran, Jason P.; Laz, Peter J.; Shelburne, Kevin B.; Hume, Donald R.; Imhauser, Carl W.; Zaylor, William; Elmasry, Shady; Schwartz, Ariel; Chokhandre, Snehal K.; Abdollahi Nohouji, Neda; Besier,
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of computational modeling to investigate knee joint biomechanics has increased exponentially over the last few decades. Developing computational models is a creative process where decisions have to be made, subject ...
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