• DocumentCode
    601998
  • Title

    Automation training model construction of forced running wheel exercise for stroke recovery

  • Author

    Chi-Chun Chen ; Shih-Chieh Chan ; Chin-Lung Yang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chen Kung Univ., Tainan, Taiwan
  • fYear
    2013
  • fDate
    12-16 March 2013
  • Firstpage
    31
  • Lastpage
    34
  • Abstract
    This study implemented a forced running wheel system which applied automatic exercise training model to replace the traditional treadmill that trained animals manually. The proposed platform will be further applied to the efficacy of pre-conditioning exercise induced neuroprotection to prevent the animal stroke model. This proposed forced running wheel system not only solved the shortcomings of traditional treadmill use of electric shocks to force the mice to running, but more scientific method to construct the automatic training model to train the animals to achieve the purpose of endurance exercises. The experiments were processed from the mouse without the running wheel experiences to start training until the fifth day, and the experimental data was analyzed to construct an accelerative exercise training curve of exponential type from 0 - 20 meters per minute. Preliminary results indicate that the similar increase degrees of body temperature after exercising, compared the proposed automatic platform with the traditional treadmill, verifying the feasibility of this system.
  • Keywords
    biomechanics; neurophysiology; patient care; accelerative exercise training curve; animal stroke model; automatic exercise training model; automation training model construction; body temperature; endurance exercise; forced running wheel exercise system; neuroprotection; preconditioning exercise; stroke recovery; Acceleration; DC motors; Electric shock; Mice; Training; Wheels; Forced running wheel; automatic training model; neuroprotection; stroke; treadmill;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Orange Technologies (ICOT), 2013 International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4673-5934-4
  • Type

    conf

  • DOI
    10.1109/ICOT.2013.6521150
  • Filename
    6521150