Hill-Based Muscle Modeling

2018 ◽  
pp. 1-22
Author(s):  
Ross H. Miller
Keyword(s):  
Muscle Modeling

scholarly journals A Systematic Review of Continuum Modeling of Skeletal Muscles: Current Trends, Limitations, and Recommendations

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Tien Tuan Dao ◽  
Marie-Christine Ho Ba Tho
Keyword(s):  
Systematic Review ◽  
Skeletal Muscle ◽  
Parameter Identification ◽  
Skeletal Muscles ◽  
Finite Elasticity ◽  
Data Uncertainty ◽  
Continuum Models ◽  
Holistic View ◽  
Muscle Modeling ◽  
Passive Muscle

Finite elasticity theory has been commonly used to model skeletal muscle. A very large range of heterogeneous constitutive laws has been proposed. In this review, the most widely used continuum models of skeletal muscles were synthetized and discussed. Trends and limitations of these laws were highlighted to propose new recommendations for future researches. A systematic review process was performed using two reliable search engines as PubMed and ScienceDirect. 40 representative studies (13 passive muscle materials and 27 active muscle materials) were included into this review. Note that exclusion criteria include tendon models, analytical models, 1D geometrical models, supplement papers, and indexed conference papers. Trends of current skeletal muscle modeling relate to 3D accurate muscle representation, parameter identification in passive muscle modeling, and the integration of coupled biophysical phenomena. Parameter identification for active materials, assumed fiber distribution, data assumption, and model validation are current drawbacks. New recommendations deal with the incorporation of multimodal data derived from medical imaging, the integration of more biophysical phenomena, and model reproducibility. Accounting for data uncertainty in skeletal muscle modeling will be also a challenging issue. This review provides, for the first time, a holistic view of current continuum models of skeletal muscles to identify potential gaps of current models according to the physiology of skeletal muscle. This opens new avenues for improving skeletal muscle modeling in the framework of in silico medicine.

Effect of Muscle Modeling in the Efficiency and Accuracy of the Forward-Dynamics Simulation of Human Gait

2021 ◽  
pp. 299-303
Author(s):  
Francisco Mouzo ◽  
Florian Michaud ◽  
Mario Lamas ◽  
Urbano Lugris ◽  
Javier Cuadrado
Keyword(s):  
Dynamics Simulation ◽  
Human Gait ◽  
Forward Dynamics ◽  
Muscle Modeling

Hill-Based Muscle Modeling

2018 ◽  
pp. 373-394 ◽  
Author(s):  
Ross H. Miller
Keyword(s):  
Muscle Modeling

Skeletal muscle modeling by fractional multi-models: analysis of length effect

2019 ◽  
pp. 95-118
Author(s):  
P. Melchior ◽  
S. Victor ◽  
M. Pellet ◽  
J. Petit ◽  
J. -M. Cabelguen ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Length Effect ◽  
Muscle Modeling

An activation-recruitment scheme for use in muscle modeling

1992 ◽  
Vol 25 (12) ◽  
pp. 1467-1476 ◽  
Author(s):  
David A. Hawkins ◽  
M.L. Hull
Keyword(s):  
Muscle Modeling

Graphical Modeling of Human Muscles

2011 ◽  
pp. 241-257
Author(s):  
X. Ye ◽  
F. Dong
Keyword(s):  
Geometric Modeling ◽  
The Body ◽  
Deformation Model ◽  
Graphical Modeling ◽  
Anatomical Structures ◽  
Muscle Modeling ◽  
Radiological Data ◽  
Feature Based ◽  
Visual Description ◽  
Muscle Models

Muscle simulation is an important component of human modeling. However, there have been few attempts to demonstrate, in an anatomically-correct way, muscle structures and the way in which these change during motion. This chapter proposes a feature-based approach to muscle modeling which attempts to provide models for human musculature based on the real anatomical structures. These models provide a good visual description and form a sound basis for further developments towards medically-accurate simulation of human bodies. Three major problems have been addressed: geometric modeling, deformation and texture. To allow for the wide variety of muscle shapes encountered in the body, the geometric models are based on muscle features identified from radiological data. The results are realistic models with correct anatomical structures, the deformation of these muscle models is fully controlled by, and consistent with, the motion of underlying joint. We suggest a general deformation model that can be adopted for many of our muscle models, but we also model separately the deformation of specific cases for which the general model is not suitable. Interactions between muscles are also taken into account to avoid penetration occurring between adjacent muscles in our model. To provide a suitable visual effect, an algorithm was developed to generate the muscle texture directly on the model surface, rather than by using conventional pattern mapping on to the surface. Some results are presented on the geometric modeling, the deformation and the texture of muscles related to the knee.

Sign in / Sign up

Export Citation Format

Share Document