• DocumentCode
    3237735
  • Title

    A New Approach for EMG Decomposition Based on Overlaps Solution

  • Author

    Zarei, E. ; Maghooli, Keyvan ; Firoozabadi, S. Mohammad P.

  • Author_Institution
    Islamic Azad Univ., Tehran
  • fYear
    2007
  • fDate
    1-4 July 2007
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    In this paper a decomposition algorithm is introduced that uses three conventional methods simultaneously in different input channels for obtaining better results and resolving overlaps. The signal is recorded through one channel and the same signal is divided to gain different channels information. The firing patterns of the motor units obtained after decomposition in three channels in specific time domain are used for overlap solution. In order to verify this method, EMG signal is simulated in such away that it could resemble the clinical signal as much as possible. The obtained results show the capability of three channels decomposition system, in decomposing the signal.
  • Keywords
    decomposition; electromyography; medical signal processing; EMG decomposition algorithm; clinical signal; electromyogram signal; firing patterns; input channels; motor units; overlap solution; Electrodes; Electromyography; Filters; Integrated circuit modeling; Medical diagnostic imaging; Muscles; Noise level; Physics; Signal generators; Signal processing algorithms; Decomposition; EMG; Modeling; Overlap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2007 15th International Conference on
  • Conference_Location
    Cardiff
  • Print_ISBN
    1-4244-0882-2
  • Electronic_ISBN
    1-4244-0882-2
  • Type

    conf

  • DOI
    10.1109/ICDSP.2007.4288533
  • Filename
    4288533