• 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