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    An Electromyography-Based Constitutive Law for Force Generation in Skeletal Muscle—Part I: Model Development

    Source: Journal of Biomechanical Engineering:;2022:;volume( 144 ):;issue: 010::page 101005
    Author:
    Knodel, Nathan B.;Lawson, L. Brie;Nauman, Eric A.
    DOI: 10.1115/1.4053568
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes a new method for estimating skeletal muscle forces using a model derived from dimensional analysis. It incorporates electromyography signals and muscle force–length, force–velocity, and force–frequency relationships as inputs. The purpose of this model is to provide more accurate estimates of individualized muscle forces to better predict surrounding musculoskeletal tissue and joint contact loading. The derivation begins with dimensional analysis and a selection of critical parameters that define muscle force generation. The resulting constitutive equation gives way to a unique application of inverse-dynamics, one which avoids the issue of indeterminacy when reaction moments and ligament loading are minimized in a joint. The ankle joint is used as an example for developing the equations that culminate into a system of linear equations. A muscle force model capable of being calibrated and then used to predict joint contact and surrounding tissue loading is critical in advancing biomechanics research areas like injury prevention, performance optimization, and tissue engineering, among others. This model's foundation in dimensional analysis, along with its inclusion of electromyography signals, gives promise that it will be physiologically relevant and suitable for application-based studies. A following paper, Part II, will evaluate this premise in an experimental setting.
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      An Electromyography-Based Constitutive Law for Force Generation in Skeletal Muscle—Part I: Model Development

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4288307
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    contributor authorKnodel, Nathan B.;Lawson, L. Brie;Nauman, Eric A.
    date accessioned2022-12-27T23:17:29Z
    date available2022-12-27T23:17:29Z
    date copyright5/9/2022 12:00:00 AM
    date issued2022
    identifier issn0148-0731
    identifier otherbio_144_10_101005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288307
    description abstractThis paper proposes a new method for estimating skeletal muscle forces using a model derived from dimensional analysis. It incorporates electromyography signals and muscle force–length, force–velocity, and force–frequency relationships as inputs. The purpose of this model is to provide more accurate estimates of individualized muscle forces to better predict surrounding musculoskeletal tissue and joint contact loading. The derivation begins with dimensional analysis and a selection of critical parameters that define muscle force generation. The resulting constitutive equation gives way to a unique application of inverse-dynamics, one which avoids the issue of indeterminacy when reaction moments and ligament loading are minimized in a joint. The ankle joint is used as an example for developing the equations that culminate into a system of linear equations. A muscle force model capable of being calibrated and then used to predict joint contact and surrounding tissue loading is critical in advancing biomechanics research areas like injury prevention, performance optimization, and tissue engineering, among others. This model's foundation in dimensional analysis, along with its inclusion of electromyography signals, gives promise that it will be physiologically relevant and suitable for application-based studies. A following paper, Part II, will evaluate this premise in an experimental setting.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Electromyography-Based Constitutive Law for Force Generation in Skeletal Muscle—Part I: Model Development
    typeJournal Paper
    journal volume144
    journal issue10
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4053568
    journal fristpage101005
    journal lastpage101005_9
    page9
    treeJournal of Biomechanical Engineering:;2022:;volume( 144 ):;issue: 010
    contenttypeFulltext
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