In vivo moment arm lengths for hip extensor muscles at different angles of hip flexion

Németh, Gunnar; Ohlsèn, Hans

doi:10.1016/0021-9290(85)90005-3

Cited by 148 publications

(92 citation statements)

References 10 publications

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“…Individual fiber moment arms (ma fiber ) were calculated according to the principal of virtual work, 3 ma fiber = ∂l fiber /∂θ. We compared the fiber moment arms predicted by the models with moment arms determined from anatomical measurements 6,14,20,36 and published models of the lower extremity (with series-of-line-segment representations of muscle). 6,16 We also evaluated the models by comparing the changes in shape of the 3D muscle models with changes in shape measured from the MR images we acquired with the hip extended and flexed positions.…”

Section: Evaluations Of the Modelsmentioning

confidence: 99%

Three-Dimensional Representation of Complex Muscle Architectures and Geometries

2005

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Abstract-Almost all computer models of the musculoskeletal system represent muscle geometry using a series of line segments. This simplification (i) limits the ability of models to accurately represent the paths of muscles with complex geometry and (ii) assumes that moment arms are equivalent for all fibers within a muscle (or muscle compartment). The goal of this work was to develop and evaluate a new method for creating three-dimensional (3D) finite-element models that represent complex muscle geometry and the variation in moment arms across fibers within a muscle. We created 3D models of the psoas, iliacus, gluteus maximus, and gluteus medius muscles from magnetic resonance (MR) images. Peak fiber moment arms varied substantially among fibers within each muscle (e.g., for the psoas the peak fiber hip flexion moment arms varied from 2 to 3 cm, and for the gluteus maximus the peak fiber hip extension moment arms varied from 1 to 7 cm). Moment arms from the literature were generally within the range of fiber moment arms predicted by the 3D models. The models accurately predicted changes in muscle surface geometry over a 55• range of hip flexion, as compared to changes in shape predicted from MR images (average errors between the model and measured surfaces were between 1.7 and 5.2 mm). This new framework for representing muscle will enhance the accuracy of computer models of the musculoskeletal system.

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Section: Evaluations Of the Modelsmentioning

confidence: 99%

Three-Dimensional Representation of Complex Muscle Architectures and Geometries

2005

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“…Moment arms for all muscles ( Table 2) were assumed to be constant and based on published data [36][37][38][39][40][41][42][43][44]. Force generation of the muscle was modeled by a three-element Hill model (Fig.…”

Section: Equations Of Motionmentioning

confidence: 99%

Development and Validation of a 3-D Model to Predict Knee Joint Loading During Dynamic Movement

McLean

Bogert

2003

Journal of Biomechanical Engineering

213

180

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“…This may contribute to hip hiking late in the swing cycle of the intact limb commonly present in individuals with TFA, particularly in subjects fitted with OFs [12,52]. AM, a major stabilizer of the hip, also displayed a greater increase in activity at end of support in the group with TFA than in the control group [23,53].…”

Section: Surface Electromyographymentioning

confidence: 99%

Muscle activity during stance phase of walking: Comparison of males with transfemoral amputation with osseointegrated fixations to nondisabled male volunteers

Pantall¹,

Ewins²

2013

JRRD

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Abstract-A recent development in prosthetics is the osseointegrated fixation (OF), with improvements in comfort, fatigue, hip movement, and ease of prosthetic attachment reported. However, little information is available regarding muscle function. This study reports on selected gait parameters of the residual limb during the stance phase of level overground walking, focusing on muscle activity. Five males with transfemoral amputation (TFA) with OFs were recruited. Ground reaction force (GRF), lower-limb kinematics, and surface electromyography (sEMG) from residual-limb muscles were recorded. sEMG data were also collected from a group of 10 nondisabled male subjects. Interstance variability of gait parameters was assessed by coefficient of multiple correlations. Repeatability of GRF and hip kinematics was high, whereas repeatability of the sEMG was low for four of the five individuals with TFA. Interstance variability of the sEMG for gluteus medius (GMED) was significantly greater in the group with TFA. The main difference in sEMG between the groups was the phase, with GMED and adductor magnus displaying greater differences than their counterparts in the nondisabled group. Results demonstrate that muscles in the residual limb retain aspects of their previous functional pattern.

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In vivo moment arm lengths for hip extensor muscles at different angles of hip flexion

Cited by 148 publications

References 10 publications

Three-Dimensional Representation of Complex Muscle Architectures and Geometries

Three-Dimensional Representation of Complex Muscle Architectures and Geometries

Development and Validation of a 3-D Model to Predict Knee Joint Loading During Dynamic Movement

Muscle activity during stance phase of walking: Comparison of males with transfemoral amputation with osseointegrated fixations to nondisabled male volunteers

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