• DocumentCode
    1768600
  • Title

    Modeling and taylormade training method using neural network for specific muscle of the upper limb

  • Author

    Terashima, K. ; Miyoshi, Takanori ; Itokazu, Kenta ; Ueno, Yukiko ; Watanabe, Daisuke

  • Author_Institution
    Dept. of Mech. Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    762
  • Lastpage
    767
  • Abstract
    In this paper, we present modeling and taylormade training method using neural network for specific muscle of the upper limb. Validity of neural network model is demonstrated by comparing with the previous musculo - skeletal model in actual experiments. Applying the neural network model, an optimum path maximizing the activity of an agonist muscle and minimizing that of other muscles is designed by using an optimization method. The degree of muscles revitalization is evaluated by the amplitude of EMG signal, and the effectiveness of the proposed method is demonstrated.
  • Keywords
    electromyography; medical robotics; neural nets; optimisation; patient rehabilitation; EMG signal amplitude; agonist muscle; modeling method; muscles revitalization degree; musculo-skeletal model; neural network; optimization method; rehabilitation robotics; taylormade training method; upper limb specific muscle; Robots; Care Prevention; EMG signal; Muscle Training; Neural Network; Rehabilitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987881
  • Filename
    6987881