• DocumentCode
    2939266
  • Title

    A sEMG model with experimentally based simulation parameters

  • Author

    Wheeler, Katherine A. ; Shimada, Hiroshima ; Kumar, Dinesh K. ; Arjunan, Sridhar P.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    4258
  • Lastpage
    4261
  • Abstract
    A differential, time-invariant, surface electromyogram (sEMG) model has been implemented. While it is based on existing EMG models, the novelty of this implementation is that it assigns more accurate distributions of variables to create realistic motor unit (MU) characteristics. Variables such as muscle fibre conduction velocity, jitter (the change in the interpulse interval between subsequent action potential firings) and motor unit size have been considered to follow normal distributions about an experimentally obtained mean. In addition, motor unit firing frequencies have been considered to have non-linear and type based distributions that are in accordance with experimental results. Motor unit recruitment thresholds have been considered to be related to the MU type. The model has been used to simulate single channel differential sEMG signals from voluntary, isometric contractions of the biceps brachii muscle. The model has been experimentally verified by conducting experiments on three subjects. Comparison between simulated signals and experimental recordings shows that the Root Mean Square (RMS) increases linearly with force in both cases. The simulated signals also show similar values and rates of change of RMS to the experimental signals.
  • Keywords
    electromyography; medical signal processing; action potential firings; biceps brachii muscle; jitter; motor unit characteristics; motor unit recruitment thresholds; muscle fibre conduction velocity; root mean square; sEMG model; single channel differential sEMG signals; surface electromyogram model; voluntary isometric contractions; Electrodes; Electromyography; Firing; Force; Mathematical model; Muscles; Recruitment; Action Potentials; Electromyography; Humans; Models, Theoretical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627175
  • Filename
    5627175