Literature DB >> 27321191

Extracting low-velocity concentric and eccentric dynamic muscle properties from isometric contraction experiments.

R Rockenfeller1, M Günther2.   

Abstract

Determining dynamic properties of mammalian muscles, such as activation characteristics or the force-velocity relation, challenges the experimentalist. Tracking system, apparatus stiffness, load oscillation, force transducer, other sensors, and additional measuring devices may be incorporated, integrated and evaluated in an experimental set-up. In contrast, isometric contraction experiments (ICEs) are less challenging, but are generally not considered to reveal dynamic muscle properties. Yet, a sensitivity analysis of our muscle model discloses the influence of concentric, eccentric and activation parameters on isometric force development. Accordingly, we used solely experimental ICE data to identify muscle model parameters that generally describe concentric as well as eccentric muscle performance. In addition, we compared two different activation dynamics in regards to their physiological relevance to improve model-fits to ICE data. To this end, we optimized different combinations of such dynamic parameter subsets with respect to their influence on contraction solutions. Depending on muscle length in our optimized model, the contractile element reached shortening peaks during activation in the range 9-39% of its maximum contraction velocity, and about 8-25% during lengthening when deactivated. As a first result, we suggest one formulation of activation dynamics to be superior. Second, the step in slope of the force-velocity relation at isometric force was found to be the least influential among all dynamic parameters. Third, we suggest a specially designed isometric experimental set-up to estimate this transition parameter. Fourth, because of an inconsistency in literature, we developed a simple method to determine switching times of the neural stimulation and thus electro-mechanical delay (EMD) values from measuring muscle force in ICEs only.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomechanical optimization; Electro-mechanical delay; Experimental design; Sensitivity analysis; Striated muscle model

Mesh:

Year:  2016        PMID: 27321191     DOI: 10.1016/j.mbs.2016.06.005

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  Corrigendum to "Comparative Sensitivity Analysis of Muscle Activation Dynamics".

Authors:  Robert Rockenfeller; Michael Günther; Syn Schmitt; Thomas Götz
Journal:  Comput Math Methods Med       Date:  2017-09-20       Impact factor: 2.238

2.  On Laterally Perturbed Human Stance: Experiment, Model, and Control.

Authors:  Dan Suissa; Michael Günther; Amir Shapiro; Itshak Melzer; Syn Schmitt
Journal:  Appl Bionics Biomech       Date:  2018-05-02       Impact factor: 1.781

3.  Strain in shock-loaded skeletal muscle and the time scale of muscular wobbling mass dynamics.

Authors:  Kasper B Christensen; Michael Günther; Syn Schmitt; Tobias Siebert
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

4.  Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model.

Authors:  Robert Rockenfeller; Michael Günther; Norman Stutzig; Daniel F B Haeufle; Tobias Siebert; Syn Schmitt; Kay Leichsenring; Markus Böl; Thomas Götz
Journal:  Front Physiol       Date:  2020-05-05       Impact factor: 4.566

5.  Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.

Authors:  Daniel F B Haeufle; Isabell Wochner; David Holzmüller; Danny Driess; Michael Günther; Syn Schmitt
Journal:  Front Robot AI       Date:  2020-06-24

6.  Load Distribution in the Lumbar Spine During Modeled Compression Depends on Lordosis.

Authors:  Andreas Müller; Robert Rockenfeller; Nicolas Damm; Michael Kosterhon; Sven R Kantelhardt; Ameet K Aiyangar; Karin Gruber
Journal:  Front Bioeng Biotechnol       Date:  2021-06-10

7.  Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models.

Authors:  Christian Kleinbach; Oleksandr Martynenko; Janik Promies; Daniel F B Haeufle; Jörg Fehr; Syn Schmitt
Journal:  Biomed Eng Online       Date:  2017-09-02       Impact factor: 2.819

  7 in total

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