• DocumentCode
    3744365
  • Title

    Evaluating unified spatial and temporal muscle synergy modules - In different types of point to point hand motion in vertical planes

  • Author

    Sedigheh Dehghani;Fariba Bahrami

  • Author_Institution
    CIPCE, Human Motor Control and Computational Neuroscience Laboratory, School of ECE, College of Engineering, University of Tehran, Tehran, Iran
  • fYear
    2015
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    The central nervous system (CNS) uses an abundant set of joints and muscles to ensure both flexible and stable movements. How the CNS faces the complexity of control problem is not still clear. Modular control is one of the most attractive hypotheses in motor control. In this hypothesis, some motor primitives are considered as the building blocks that can be combined to present a vast repertoire of movements. Thus, the CNS recruit the modules through lower DOF. In this study a new algorithm of sample-based nonnegative matrix tri-factorization (NM3F) is used to extract spatial and temporal muscle synergy modules from muscle EMG data for three different types of point to point reaching (simple straight, reversal and via-point) in vertical planes. After extracting different features of the muscle synergies, physiological interpretation of these features will be discussed.
  • Keywords
    "Muscles","Electromyography","Matrix decomposition","Correlation","Feature extraction","Data mining","Motor drives"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2015 22nd Iranian Conference on
  • Type

    conf

  • DOI
    10.1109/ICBME.2015.7404133
  • Filename
    7404133