• DocumentCode
    2374563
  • Title

    Towards a genioglossus surface EMG model of obstructive sleep apnea

  • Author

    Chua, Eric C P ; McSharry, David G. ; McNicholas, Walter T. ; Lowery, Madeleine M.

  • Author_Institution
    Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2979
  • Lastpage
    2982
  • Abstract
    The behaviour and activity of the genioglossus muscle during sleep is of considerable interest to investigators of obstructive sleep apnea syndrome. Therefore, we contribute an model of genioglossus EMG activity during breathing, based on recent physiological findings. We present the modelling techniques and simulation results. The model incorporates new data on fibre type, motor unit type and motor unit firing characteristics. Although we report its use for modelling genioglossus surface EMG, this model can be used to simulate both genioglossus surface and intramuscular EMGs of various electrode configurations. We also discuss the simulation results in the context of the limited experimental data available for surface genioglossus EMG in obstructive sleep apnea.
  • Keywords
    bioelectric potentials; electromyography; neurophysiology; pneumodynamics; sleep; breathing; electrode configurations; electromyography; fibre; firing characteristics; genioglossus muscle; intramuscular EMG; motor unit; obstructive sleep apnea syndrome; surface EMG model; Action Potentials; Biomedical Engineering; Computer Simulation; Electrodes; Electromyography; Equipment Design; Humans; Isometric Contraction; Models, Statistical; Motor Neurons; Sleep Apnea, Obstructive; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332517
  • Filename
    5332517