• DocumentCode
    2954864
  • Title

    An energy ratio based measure for F-wave backfiring rate estimation

  • Author

    Kong, Xuan ; Gozani, Shai N.

  • Author_Institution
    Neurometrix Inc., Waltham, MA, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3990
  • Lastpage
    3993
  • Abstract
    F-wave persistence is a frequently reported parameter for nerve conduction studies. F-wave activities are generated through backfiring of motor neurons. F-wave persistence is designed to estimate the backfiring rate. Through computational models and probability analyses, we demonstrated that the F-wave persistence definition is deficient in providing a robust and consistent estimate of the backfiring rate. We proposed an energy ratio based measure as an alternative to F-wave persistence to estimate backfiring rates. The energy ratio measure is shown to be robust to activity detection threshold and without the ceiling effect suffered by the traditional F-wave persistence.
  • Keywords
    bioelectric phenomena; neurophysiology; physiological models; probability; F-wave backfiring rate estimation; F-wave persistence; activity detection threshold; computational models; energy ratio; motor neurons; nerve conduction; probability analysis; Computational modeling; Energy measurement; Erbium; Mathematical model; Muscles; Nerve fibers; Action Potentials; Neural Conduction; Probability;
  • 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.2010.5628004
  • Filename
    5628004