• DocumentCode
    2506904
  • Title

    A neuromuscular elbow model for analysis of force and movement variability in slow movements

  • Author

    Celik, Ozkan ; Malley, Marcia K O

  • Author_Institution
    Dept. of Mech. Eng. & Mater. Sci., Rice Univ., Houston, TX, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    8267
  • Lastpage
    8270
  • Abstract
    In this paper, we present a neuromuscular elbow model with both motor unit pool recruitment and Hill-based contraction dynamics. The model builds upon various models reported in the literature and provides a way to quantify force and movement variability in both isometric and non-isometric contractions. The model´s accuracy in estimating muscle force variability at low force levels (at less than 20% maximum voluntary contraction) is evaluated in isometric contraction case and compared with experimental results from the literature. This comparison suggests that the model is accurate in estimating force variability within the low force range and can be used to explore effects of muscle force variability in increased kinematic variability during slow movements.
  • Keywords
    biomechanics; force; kinematics; motion measurement; muscle; neurophysiology; physiological models; Hill-based contraction dynamics; isometric contraction case; kinematic variability; motor unit pool; movement variability; muscle force variability; neuromuscular elbow model; slow movements; Biological system modeling; Dynamics; Elbow; Force; Mathematical model; Muscles; Tendons; Movement variability; motor-unit pool models; movement intermittency; muscle force variability; muscle models; Biomechanics; Elbow; Humans; Models, Neurological; Movement; Muscle Contraction; Muscle, Skeletal; Neuromuscular Junction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6092038
  • Filename
    6092038