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Publikācija: Modelling of Red and White Muscle Fibres in Force Generation

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity State funding for education
Defending: ,
Publication language English (en)
Title in original language Modelling of Red and White Muscle Fibres in Force Generation
Field of research 2. Engineering and technology
Sub-field of research 2.6 Medical engineering
Authors Igors Tipāns
Jānis Vība
Antons Esaulenko
Keywords Modelling, Muscular force generation, Red and white muscle fibres
Abstract Force development mechanisms in white and red muscle fibres are investigated. Both types of fibres play different roles in muscular force generation, expressed in force onset velocity and duration. The purpose of the work is to find the key parameters in the model imitating differences in onset velocity for both types of muscle fibre cells, which further would allow to model the propagation of excitation wave. The model allowed to estimate the effect of differences in capacitances of cell membranes of red and white muscle cells to depolarization velocity. With the model we were able to determine the conditions of appearance of low amplitude oscillations interrupting the force generation. Investigation of different behaviour of red and white muscle fibres is needed to understand reaction mechanisms of living objects to sudden external situation changes, such as obstacles or attacks. Similar ability to have two types of force production - slow sustained, and fast of short duration - is often required for robotic devices.
DOI: 10.22616/ERDev2017.16.N337
Hyperlink: http://www.tf.llu.lv/conference/proceedings2017/Papers/N337.pdf 
Reference Tipāns, I., Vība, J., Esaulenko, A. Modelling of Red and White Muscle Fibres in Force Generation. In: 16th International Scientific Conference "Engineering for Rural Development": Proceedings, Latvia, Jelgava, 24-26 May, 2017. Jelgava: Latvia University of Agriculture, 2017, pp.1491-1494. ISSN 1691-3043. Available from: doi:10.22616/ERDev2017.16.N337
Additional information Citation count:
  • Scopus  0
ID 26664