A comparison of muscle energy models for simulating human walking in three dimensions

Miller, Ross H.

doi:10.1016/j.jbiomech.2014.01.049

Cited by 99 publications

(161 citation statements)

References 75 publications

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“…The second modification was that the total metabolic rate at any time could not be negative (theoretically, total metabolic rate could be negative if the fiber mechanical work rate was negative and exceeded the total heat rate in magnitude). This change was consistent with the argument that eccentric work cannot cause a net synthesis of ATP (Miller, 2014).…”

Section: Metabolics Modelsupporting

confidence: 91%

Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking

Jackson

Dembia

Delp

et al. 2017

Journal of Experimental Biology

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The goal of this study was to gain insight into how ankle exoskeletons affect the behavior of the plantarflexor muscles during walking. Using data from previous experiments, we performed electromyographydriven simulations of musculoskeletal dynamics to explore how changes in exoskeleton assistance affected plantarflexor muscletendon mechanics, particularly for the soleus. We used a model of muscle energy consumption to estimate individual muscle metabolic rate. As average exoskeleton torque was increased, while no net exoskeleton work was provided, a reduction in tendon recoil led to an increase in positive mechanical work performed by the soleus muscle fibers. As net exoskeleton work was increased, both soleus muscle fiber force and positive mechanical work decreased. Trends in the sum of the metabolic rates of the simulated muscles correlated well with trends in experimentally observed whole-body metabolic rate (R 2 =0.9), providing confidence in our model estimates. Our simulation results suggest that different exoskeleton behaviors can alter the functioning of the muscles and tendons acting at the assisted joint. Furthermore, our results support the idea that the series tendon helps reduce positive work done by the muscle fibers by storing and returning energy elastically. We expect the results from this study to promote the use of electromyography-driven simulations to gain insight into the operation of muscle-tendon units and to guide the design and control of assistive devices.

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Section: Metabolics Modelsupporting

confidence: 91%

Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking

Jackson

Dembia

Delp

et al. 2017

Journal of Experimental Biology

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“…These models are based on experiments with isolated fiber bundles from mouse and frog muscles. These models predict whole-body metabolic cost for walking and running with reasonable accuracy, but predictions are sensitive to the metabolic model, corresponding muscle model, and neural controller [90,127]. This is an important area for future work as interest in metabolic energy and efficiency grows in the community (e.g., in pathology or for designing assistive devices).…”

Section: Energetic or Metabolic Modelingmentioning

confidence: 99%

Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement

Hicks

Uchida

Seth

et al. 2015

Journal of Biomechanical Engineering

549

455

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Computational modeling and simulation of neuromusculoskeletal (NMS) systems enables researchers and clinicians to study the complex dynamics underlying human and animal movement. NMS models use equations derived from physical laws and biology to help solve challenging real-world problems, from designing prosthetics that maximize running speed to developing exoskeletal devices that enable walking after a stroke. NMS modeling and simulation has proliferated in the biomechanics research community over the past 25 years, but the lack of verification and validation standards remains a major barrier to wider adoption and impact. The goal of this paper is to establish practical guidelines for verification and validation of NMS models and simulations that researchers, clinicians, reviewers, and others can adopt to evaluate the accuracy and credibility of modeling studies. In particular, we review a general process for verification and validation applied to NMS models and simulations, including careful formulation of a research question and methods, traditional verification and validation steps, and documentation and sharing of results for use and testing by other researchers. Modeling the NMS system and simulating its motion involves methods to represent neural control, musculoskeletal geometry, muscle-tendon dynamics, contact forces, and multibody dynamics. For each of these components, we review modeling choices and software verification guidelines; discuss variability, errors, uncertainty, and sensitivity relationships; and provide recommendations for verification and validation by comparing experimental data and testing robustness. We present a series of case studies to illustrate key principles. In closing, we discuss challenges the community must overcome to ensure that modeling and simulation are successfully used to solve the broad spectrum of problems that limit human mobility.

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“…1c) has been used previously to simulate 3D human walking [32] and consisted of 10 rigid segments (pelvis, trunk, thighs, shanks, feet, toes) with 23 degrees of freedom (DoF). The model had a standing height (1.66 m), mass (61.0 kg), and body segment inertial properties [11] representing an adult female.…”

Section: Musculoskeletal Modelmentioning

confidence: 99%

“…Muscle-specific model parameters were referenced from a cadaver-based lower limb model [4] then adjusted so that the maximum isometric hip, knee, and ankle torque-angle curves were similar to average dynamometry data for adult females [3]. See [32] for details on this parameter tuning method. Muscle metabolic rates were calculated using a model of human muscle energy expenditure [46].…”

Section: Musculoskeletal Modelmentioning

confidence: 99%

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Joint contact forces when minimizing the external knee adduction moment by gait modification: A computer simulation study

2015

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A comparison of muscle energy models for simulating human walking in three dimensions

Cited by 99 publications

References 75 publications

Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking

Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking

Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement

Joint contact forces when minimizing the external knee adduction moment by gait modification: A computer simulation study

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