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Division of Biomedical Technology
1. Journal Articles
An action potential-driven model of soleus muscle activation dynamics for locomotor-like movements
Kim, Hojeong
;
Sandercock, Thomas G.
;
Heckman, C. J.
Division of Biomedical Technology
1. Journal Articles
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Title
An action potential-driven model of soleus muscle activation dynamics for locomotor-like movements
Issued Date
2015-08
Citation
Journal of Neural Engineering, v.12, no.4
Type
Article
Author Keywords
muscle modeling
;
activation dynamics
;
cat soleus
;
spike excitation
;
muscle movement
;
computer simulation
Keywords
Muscle
;
Muscle Contraction
;
Muscle Excitation
;
Muscle Isometric Contraction
;
Muscle Length
;
Muscle Modeling
;
Muscle Movement
;
Muscle Strength
;
Muscle, Skeletal
;
Musculoskeletal System Parameters
;
Nonhuman
;
Physiological Factors
;
Physiological Models
;
Physiology
;
Priority Journal
;
SARCOPLASMIC-RETICULUM
;
SKELETAL-MUSCLE
;
Soleus Muscle
;
Spike Excitation
;
Spinal Motoneurons
;
Static and Dynamic Conditions
;
STRIATED-MUSCLE
;
Waveform
;
Action Potential
;
Action Potentials
;
Activation Dynamics
;
Adult
;
Animal
;
Animals
;
Article
;
Biological Model
;
Calcium
;
Calcium Signaling
;
CARDIAC-MUSCLE
;
CAT
;
Cat Soleus
;
Cats
;
Chemical Activation
;
Computer Simulation
;
Controlled Study
;
CROSS-BRIDGE KINETICS
;
DYNAMICS
;
Feline Model
;
Force Transformations
;
FROG SKELETAL-MUSCLE
;
Gait
;
Human
;
Humans
;
INDUCED FORCE DEPRESSION
;
Large Scale Simulations
;
LENGTH DEPENDENCE
;
LOCOMOTION
;
MATHemATICAL-MODEL
;
Models, Neurological
;
Motoneuron
;
Motor Neurons
;
MOTOR UNITS
ISSN
1741-2560
Abstract
Objective. The goal of this study was to develop a physiologically plausible, computationally robust model for muscle activation dynamics (A(t)) under physiologically relevant excitation and movement. Approach. The interaction of excitation and movement on A(t) was investigated comparing the force production between a cat soleus muscle and its Hill-type model. For capturing A(t) under excitation and movement variation, a modular modeling framework was proposed comprising of three compartments: (1) spikes-to-[Ca2+]; (2) [Ca2+]-to-A; and (3) A-to-force transformation. The individual signal transformations were modeled based on physiological factors so that the parameter values could be separately determined for individual modules directly based on experimental data. Main results. The strong dependency of A(t) on excitation frequency and muscle length was found during both isometric and dynamically-moving contractions. The identified dependencies of A(t) under the static and dynamic conditions could be incorporated in the modular modeling framework by modulating the model parameters as a function of movement input. The new modeling approach was also applicable to cat soleus muscles producing waveforms independent of those used to set the model parameters. Significance. This study provides a modeling framework for spike-driven muscle responses during movement, that is suitable not only for insights into molecular mechanisms underlying muscle behaviors but also for large scale simulations. © 2015 IOP Publishing Ltd.
URI
http://hdl.handle.net/20.500.11750/2593
DOI
10.1088/1741-2560/12/4/046025
Publisher
Institute of Physics Publishing
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Kim, Hojeong
김호정
Division of Biomedical Technology
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