• DocumentCode
    3224577
  • Title

    A study on muscle activities through surface EMG for lower limb exoskeleton controller

  • Author

    Taslim Reza, S.M. ; Ahmad, Nafees ; Choudhury, I.A. ; Ghazilla, Raja Ariffin Raja

  • Author_Institution
    Dept. of Mech. Eng., Univ. Of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    The motion of human body is complex but perfect and integrated effort of brain, nerves and muscles. Exoskeleton is a promising idea for human rehabilitation of the lower limb that is weak enough to move. EMG signal contains the information of human movement and can be considered as one of the most powerful input to exoskeleton controller. In this research, the activity of the lower limb muscles that are responsible for human sit to stand and stand to sit movement has been studied. In this regard, the activities of three muscles viz. rectus femoris, vastus lateralis and biceps femoris have been observed and recorded to perceive their activation pattern. The experimental results show that the maximum voltage of vastus lateralis at activation moment is greater or equal to +0.1 mV or lesser or equal to -0.1 mVduring sit to stand and stand to sit movement whereas same throughput was found for biceps femoris during sit to stand and for rectus femoris during stand to sit movement only.
  • Keywords
    biomechanics; brain; electromyography; medical robotics; medical signal processing; neurophysiology; patient rehabilitation; activation moment; biceps femoris; brain; human rehabilitation; lower limb exoskeleton controller; muscle activity; nerves; rectus femoris; surface EMG signal; vastus lateralis; Acceleration; Conferences; Control systems; Electromyography; Exoskeletons; Muscles; Robots; EMG signal; exoskeleton; muscle activity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Process & Control (ICSPC), 2013 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-2208-6
  • Type

    conf

  • DOI
    10.1109/SPC.2013.6735124
  • Filename
    6735124