• DocumentCode
    606050
  • Title

    EMG signals detection technique in voluntary muscle movement

  • Author

    Ali, Ahmed Abdalla ; Albarahany, A. ; Liu Quan

  • Author_Institution
    Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    738
  • Lastpage
    742
  • Abstract
    The signals can be analyzed to detect medical abnormalities, activation level, and recruitment order or to analyze the biomechanics of human or animal movement. Electromyography signal carries valuable information regarding the nerve system. So the aim of this paper is to give brief information about EMG signal detection techniques in voluntary muscle movement of human being. In this paper, various methodologies are applied to analyze different techniques for EMG signal detection, decomposition, process and classification. Also this study clearly points up the various types of EMG signal analysis techniques so that the right methods can be applied during any clinical diagnosis, biomedical research, hardware implementations and end user applications.
  • Keywords
    electromyography; medical signal detection; signal classification; EMG signal analysis technique; EMG signal classification; EMG signal decomposition; EMG signal detection technique; EMG signal processing; activation level; animal movement; biomechanics; biomedical research; clinical diagnosis; electromyography signal; end user applications; hardware implementations; human movement; medical abnormality detection; nerve system; recruitment order; voluntary muscle movement; Detection Technique; Electromyography (EMG); Voluntary Muscle Movement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528730