A comparison of models of the isometric force of locust skeletal muscle in response to pulse train inputs

Muscle models are an important tool in the development of newrehabilitation and diagnostic techniques. Many models have been proposed in the past, but little work has been done on comparing the performance of models. In this paper, seven models that describe the isometric force response to pulse tra...

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Bibliographic Details
Main Authors: Wilson, Emma (Author), Rustighi, Emiliano (Author), Newland, Philip L. (Author), Mace, B.R (Author)
Format: Article
Language:English
Published: 2011-07-08.
Subjects:
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042 |a dc 
100 1 0 |a Wilson, Emma  |e author 
700 1 0 |a Rustighi, Emiliano  |e author 
700 1 0 |a Newland, Philip L.  |e author 
700 1 0 |a Mace, B.R.  |e author 
245 0 0 |a A comparison of models of the isometric force of locust skeletal muscle in response to pulse train inputs 
260 |c 2011-07-08. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/206379/1/71_Wilson_et_al_%25282011%2529.pdf 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/206379/2/2012_Biomech_Model_Mechanobiol_Wilson_ModelComp.pdf 
520 |a Muscle models are an important tool in the development of newrehabilitation and diagnostic techniques. Many models have been proposed in the past, but little work has been done on comparing the performance of models. In this paper, seven models that describe the isometric force response to pulse train inputs are investigated. Five of the models are from the literature while two new models are also presented. Models are compared in terms of their ability to fit to isometric force data, using Akaike's and Bayesian information criteria and by examining the ability of each model to describe the underlying behaviour in response to individual pulses. Experimental data were collected by stimulating the locust extensor tibia muscle and measuring the force generated at the tibia. Parameters in each model were estimated by minimising the error between the modelled and actual force response for a set of training data. A separate set of test data, which included physiological kick-type data, was used to assess the models. It was found that a linear model performed the worst whereas a new model was found to perform the best. The parameter sensitivity of this new model was investigated using a one-at-a-time approach, and it found that the force response is not particularly sensitive to changes in any parameter. 
655 7 |a Article