• DocumentCode
    3060673
  • Title

    Simulation and analysis of needle electromyogram in Emery-Dreifuss Muscular Distrophy by using line source model

  • Author

    Adab, H. Zivari ; Firoozabadi, S.M.P. ; Chalavi, S. ; Maghooli, K.

  • Author_Institution
    Biomedical Engineering School, Islamic Azad University, Tehran, Iran
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    338
  • Lastpage
    342
  • Abstract
    Electromyography (EMG) is a valuable clinical test in detection of muscle and nerve pathology and distinguishing between myogenic and neurogenic conditions from normal condition. By using EMG, one assesses the pathophysiology on the basis of the waveform characteristics of the recorded signal. This requires detailed knowledge of the relationship between the waveform generators and the waveform measurements. In this study, we manipulated parameters of improved line source model for normal EMG generation to simulate Emery-Dreifuss Muscular Dystrophy (EDMD) disease. Common features of simulated signals in normal and EDMD conditions were extracted and quantitative analyses were performed. Finally, the simulation results and clinical results were compared and discussed. The results indicate the ability and validity of line source model in simulation EDMD disease and also confirm that EMG recordings in EDMD generally fulfill the criteria for myopathy.
  • Keywords
    Analytical models; Diseases; Electromyography; Muscles; Needles; Pathology; Performance analysis; Signal analysis; Signal generators; Testing; Algorithms; Artificial Intelligence; Computer Simulation; Diagnosis, Computer-Assisted; Electrodes; Electromyography; Humans; Models, Neurological; Muscular Dystrophy, Emery-Dreifuss; Needles; Pattern Recognition, Automated;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649159
  • Filename
    4649159