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Updated: Jul 9, 2026

Construction of Constant-Load (Isotonic) and Constant-Velocity (Isokinetic) Torque-Velocity-Power Profiles In vivo for the Rat Plantar Flexors
Published on: October 3, 2025
Nonlinearities make a difference: comparison of two common Hill-type models with real muscle
Tobias Siebert1, Christian Rode, Walter Herzog
1Institute of Motion Science, Friedrich Schiller University, Seidelstrasse 20, 07749 Jena, Germany. tobias.siebert@uni-jena.de
The study compared two Hill-type muscle models for simulating cat soleus contractions. Model [CC] better represented muscle dynamics than model [CC+SEC], suggesting its preference in musculoskeletal modeling.
Area of Science:
- Biomechanics
- Computational Biology
- Muscle Physiology
Background:
- Hill-type models are widely used in musculoskeletal simulations due to their simplicity and low computational cost.
- Two common models, [CC+SEC] and [CC], differ in their representation of elastic components.
- Accurate muscle parameterization is crucial for gaining insights into movement mechanics.
Purpose of the Study:
- To compare the representational accuracy of two Hill-type muscle models ([CC+SEC] and [CC]) for the cat soleus.
- To determine which model better captures the muscle's contraction dynamics.
Main Methods:
- In situ ramp experiments (isometric and isokinetic) were performed on cat soleus preparations.
- Supramaximal nerve stimulation was used to elicit muscle contractions.
- Hill-type models incorporating force-length, force-velocity, excitation-contraction coupling, and elastic components were fitted to experimental data.
Main Results:
- The force-velocity and series elastic component relations were independent of the chosen model when passive force was negligible.
- Model [CC] predictions for these relations aligned with experimental findings, unlike model [CC+SEC].
Conclusions:
- Model [CC] demonstrated superior representation of cat soleus contraction dynamics compared to model [CC+SEC].
- Model [CC] is recommended for nonlinear regression of muscle parameters and in musculoskeletal modeling applications.
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