Literature DB >> 23265663

Frequency response model of skeletal muscle and its association with contractile properties of skeletal muscle.

Yasushi Itoh1, Kumi Akataki, Katsumi Mita, Makoto Watakabe, Hisako Nonaka.   

Abstract

The aims of the present study were to develop a mathematical model of the skeletal muscle based on the frequency transfer function, referred to as frequency response model, and to presume the relationship between the model elements and skeletal muscle contractile properties. Twitch force in elbow flexion was elicited by applying a single electrical stimulation to the motor point of biceps brachii muscles, and then analyzed visually by the Bode gain and phase diagram of the force signal. The frequency response model was represented by a frequency transfer function consisting of five basic control elements (proportional element, dead time element, and three first-order lag elements). The model element constants were estimated by best-fitting to the Bode gain and phase diagram of the twitch force signal. The proportional constant and the dead time in the frequency response model correlated significantly with the peak torque and the latency in the actual twitch force, respectively. In addition, the time constants of the three first-order lag elements in the model correlated strongly with the contraction time and the half relaxation time in the actual twitch force. The results suggested a possibility that the individual elements in the frequency response model would reflect the biochemical and biomechanical properties in the excitation-contraction coupling process of skeletal muscle.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23265663     DOI: 10.1016/j.jelekin.2012.11.006

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  2 in total

1.  System identification of evoked mechanomyogram from abductor pollicis brevis muscle in isometric contraction.

Authors:  Takanori Uchiyama; Hiroaki Sakai
Journal:  Med Biol Eng Comput       Date:  2013-08-11       Impact factor: 2.602

2.  A multiplexed chip-based assay system for investigating the functional development of human skeletal myotubes in vitro.

Authors:  A S T Smith; C J Long; K Pirozzi; S Najjar; C McAleer; H H Vandenburgh; J J Hickman
Journal:  J Biotechnol       Date:  2014-06-05       Impact factor: 3.307

  2 in total

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