DocumentCode
2917445
Title
A predictive model of the isometric force response of the locust extensor muscle
Author
Wilson, Emma ; Rustighi, Emiliano ; Newland, Philip L. ; Mace, Brian R.
Author_Institution
Inst. of Sound & Vibration Res., Univ. of Southampton, Southampton, UK
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
4517
Lastpage
4520
Abstract
A predictive model that can be used to estimate the isometric force response of the locust hind leg extensor muscle is presented. The model consists of two first order coupled differential equations. The first of these equations is linear and relates an input pulse train to the calcium concentration in muscle filaments. The second is non-linear and relates the calcium concentration to muscle force. Experimental data was collected by stimulating the extensor muscle and measuring the force generated at the tibia. Model parameters were estimated by minimising the error between the modelled and actual force response in a set of training data. These parameters were then used to predict the isometric response when the neural activity recorded during a kick was used as an input to the model. The model was found to accurately predict the isometric force response of the locust hind leg extensor muscle.
Keywords
biomechanics; biomedical measurement; bone; calcium; force measurement; muscle; neurophysiology; calcium concentration; isometric force response; kick; locust hind leg extensor muscle; neural activity; predictive model; tibia; Adaptation model; Data models; Force; Mathematical model; Muscles; Predictive models; Training data; Animals; Computer Simulation; Female; Grasshoppers; Hindlimb; Isometric Contraction; Male; Models, Neurological; Motor Neurons; Muscle, Skeletal; Synaptic Transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626056
Filename
5626056
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