• DocumentCode
    1597399
  • Title

    Muscular Power Estimation in a Tele-Rehabilitation System Using a Skeletal-Linkage Model

  • Author

    Imamura, Takashi ; Teraoka, Chisato ; Terashima, Kazuhiko ; Zhang, Zhong

  • Author_Institution
    Dept. of Production Syst. Eng., Toyohashi Univ. of Technol., Aichi
  • fYear
    2006
  • Firstpage
    4042
  • Lastpage
    4046
  • Abstract
    Japanese society is aging rapidly. Muscle exercises for the elderly, has been proposed to reduce their dependence on nursing care. Specifically, rehabilitation exercise appears to be a suitable program, by considering the individual´s present muscular power and the limitations of the human body. In order to prepare and modify the exercise program to match the changes of the patient´s condition, it is necessary to build a patient muscular-power estimation system that considers the patient´s situation. Electromyography (EMG) provides useful biological information by measuring the muscular dynamics of the human body. This paper proposes a method of estimating muscular power of the upper limbs using both EMG and a skeletal-linkage model. This method was validated through experimentation and simulation analysis, which confirmed that it could estimate the muscular power of each muscle of the upper limbs through simple exercises (such as circle-drawing movement)
  • Keywords
    biomechanics; biomedical measurement; electromyography; geriatrics; medical robotics; patient rehabilitation; telecontrol; electromyography; patient muscular power estimation; skeletal-linkage model; tele-rehabilitation system; upper limb; Aging; Biological system modeling; Electromyography; Humans; Joints; Muscles; Pain; Power system modeling; Robot sensing systems; Senior citizens; EMG; Human dynamics; Muscular power estimation; Rehabilitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.315005
  • Filename
    4108215