Comparison of global and joint-to-joint methods for estimating the hip joint load and the muscle forces during walking

Fraysse, François; Dumas, Raphaël; Chèze, Laurence; Wang, Xingmei

doi:10.1016/j.jbiomech.2009.06.056

Cited by 41 publications

(28 citation statements)

References 29 publications

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“…Gaslat, gasmed, sart, and sol forces had magnitudes and shapes similar to those in other studies [41][42][43][44]. Hamstrings (bflh, bfsh, semimem, and semiten) force, which is usually reported for all heads combined, was also generally within previously reported ranges [42][43][44][45][46][47][48]. In contrast, the vastus force, which is also usually reported for all heads together [42,44,48], was negligible for vaslat in Approach A, which is not in agreement with other studies [46].…”

Section: Musclessupporting

confidence: 86%

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Serrancolí

Kinney

Fregly

et al. 2016

Journal of Biomechanical Engineering

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Though walking impairments are prevalent in society, clinical treatments are often ineffective at restoring lost function. For this reason, researchers have begun to explore the use of patient-specific computational walking models to develop more effective treatments. However, the accuracy with which models can predict internal body forces in muscles and across joints depends on how well relevant model parameter values can be calibrated for the patient. This study investigated how knowledge of internal knee contact forces affects calibration of neuromusculoskeletal model parameter values and subsequent prediction of internal knee contact and leg muscle forces during walking. Model calibration was performed using a novel two-level optimization procedure applied to six normal walking trials from the Fourth Grand Challenge Competition to Predict In Vivo Knee Loads. The outer-level optimization adjusted time-invariant model parameter values to minimize passive muscle forces, reserve actuator moments, and model parameter value changes with (Approach A) and without (Approach B) tracking of experimental knee contact forces. Using the current guess for model parameter values but no knee contact force information, the inner-level optimization predicted time-varying muscle activations that were close to experimental muscle synergy patterns and consistent with the experimental inverse dynamic loads (both approaches). For all the six gait trials, Approach A predicted knee contact forces with high accuracy for both compartments (average correlation coefficient r ¼ 0.99 and root mean square error (RMSE) ¼ 52.6 N medial; average r ¼ 0.95 and RMSE ¼ 56.6 N lateral). In contrast, Approach B overpredicted contact force magnitude for both compartments (average RMSE ¼ 323 N medial and 348 N lateral) and poorly matched contact force shape for the lateral compartment (average r ¼ 0.90 medial and À0.10 lateral). Approach B had statistically higher lateral muscle forces and lateral optimal muscle fiber lengths but lower medial, central, and lateral normalized muscle fiber lengths compared to Approach A. These findings suggest that poorly calibrated model parameter values may be a major factor limiting the ability of neuromusculoskeletal models to predict knee contact and leg muscle forces accurately for walking.

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Section: Musclessupporting

confidence: 86%

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Serrancolí

Kinney

Fregly

et al. 2016

Journal of Biomechanical Engineering

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“…The contact forces were higher in the BI and BIH methods as the activation of the biarticular muscles was not constrained by a calculated joint moment. The difference in contact forces found in this study differs from those suggested by Fraysse et al 10 but this is again a function of the differences in the calculated forces. The results of this study therefore clearly demonstrate the importance of recognizing the function of the biarticular muscles when calculating internal joint forces, and in contrast to the study of Fraysse et al suggest that the difference in contact forces may be much greater, as the action of the biarticular muscles may be to increase the joint moment, which in turn permits a greater overall level of activation of both biarticular and monoarticular musculature.…”

Section: Discussioncontrasting

confidence: 89%

“…Fraysse et al 10 have recently published study analyzing the effect of the biarticular muscles on the calculation of muscular forces during gait using the traditional 2-step approach of inverse dynamics and optimization. Their study is analogous to a comparison of the TRADM and TRADB approaches used in this study.…”

Section: Discussionmentioning

confidence: 99%

“…A number of researchers have sought to understand the function of the biarticular muscles by employing the combination of inverse dynamics and optimization techniques. 10,24,32 The majority of this study is based on finding the inverse dynamics solution using traditional techniques and then performing sensitivities on the effect of the biarticular muscles on the optimization solution. This approach is limited by the fact that the inverse dynamics method of finding the inter-segmental moments neglects the role of the biarticular muscles as seen earlier.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Optimization Approach to Inverse Dynamics Provides Insight as to the Function of the Biarticular Muscles During Vertical Jumping

2010

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Traditional inverse dynamics approaches to calculating the inter-segmental moments are limited in their ability to accurately reflect the function of the biarticular muscles. In particular they are based on the assumption that the net inter-segmental moment is zero and that total joint moments are independent of muscular activity. Traditional approaches to calculating muscular forces from the inter-segmental moments are based on a consideration of joint moments which do not encapsulate the potential moment asymmetry between segments. In addition, traditional approaches may artificially constrain the activity of the biarticular muscles. In this study, an optimization approach to the simultaneous inverse determination of inter-segmental moments and muscle forces (the 1-step method) based on a consideration of segmental rotations was employed to study vertical jumping and contrasted with the more traditional 2-step approach of determining inter-segmental moments from an inverse dynamics analysis then muscle forces using optimization techniques. The 1-step method resulted in significantly greater activation of both the monoarticular and biarticular musculature which was then translated into significantly greater joint contact forces, muscle powers, and inter-segmental moments. The results of this study suggest that traditional conceptions of inter-segmental moments do not completely encapsulate the function of the biarticular muscles and that joint function can be better understood by recognizing the asymmetry in inter-segmental moments.

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“…Unlike the present study, Hof et al (Hof et al, 2002) and Farris and Sawicki (Farris and Sawicki, 2012) considered only the ankle joint moment when calculating ankle plantar-flexor muscle force. Omission of the knee joint would affect the calculated gastrocnemius force, as the force-producing constraint imposed on the gastrocnemius by the knee joint was not included in these studies (Fraysse et al, 2009). In addition, the simple inverse-dynamics-based approach used by Hof et al (Hof et al, 2002) and Farris and Sawicki (Farris and Sawicki, 2012) did not take into consideration the intrinsic muscle properties in predicting muscle forces.…”

Section: −1mentioning

confidence: 99%

Tendon elastic strain energy in the human ankle plantar-flexors and its role with increased running speed

Lai

Schache

Lin

et al. 2014

Journal of Experimental Biology

113

125

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The human ankle plantar-flexors, the soleus and gastrocnemius, utilize tendon elastic strain energy to reduce muscle fiber work and optimize contractile conditions during running. However, studies to date have considered only slow to moderate running speeds up to 5 m s −1 . Little is known about how the human ankle plantar-flexors utilize tendon elastic strain energy as running speed is advanced towards maximum sprinting. We used data obtained from gait experiments in conjunction with musculoskeletal modeling and optimization techniques to calculate muscle-tendon unit (MTU) work, tendon elastic strain energy and muscle fiber work for the ankle plantar-flexors as participants ran at five discrete steady-state speeds ranging from jogging (~2 m s −1 ) to sprinting (≥8 m s −1 ). As running speed progressed from jogging to sprinting, the contribution of tendon elastic strain energy to the positive work generated by the MTU increased from 53% to 74% for the soleus and from 62% to 75% for the gastrocnemius. This increase was facilitated by greater muscle activation and the relatively isometric behavior of the soleus and gastrocnemius muscle fibers. Both of these characteristics enhanced tendon stretch and recoil, which contributed to the bulk of the change in MTU length. Our results suggest that as steady-state running speed is advanced towards maximum sprinting, the human ankle plantar-flexors continue to prioritize the storage and recovery of tendon elastic strain energy over muscle fiber work.

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Comparison of global and joint-to-joint methods for estimating the hip joint load and the muscle forces during walking

Cited by 41 publications

References 29 publications

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

An Optimization Approach to Inverse Dynamics Provides Insight as to the Function of the Biarticular Muscles During Vertical Jumping

Tendon elastic strain energy in the human ankle plantar-flexors and its role with increased running speed

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