• DocumentCode
    2580747
  • Title

    Nonlinear changes in evoked potentials during recovery from hypoxic-ischemic injury

  • Author

    Sherman, David L. ; Hinich, Melvin J. ; Hanley, Daniel F. ; Thakor, Nitish V.

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    4
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    2046
  • Abstract
    Evoked potential (EP) recordings remain a sensitive indicator of the cerebral response to episodes of brain injury. Previous investigations focused primarily on power and spectral (Fourier) indicators of injury. These parameters are derived from second order statistics. Nonlinear changes also occur after the induction of hypoxic-ischemic (HI) injury. These alterations may be captured using higher order statistics such as the bicorrelation or third order cumulants. Higher order statistics are able to accurately capture signal shape changes due to phase alterations. The H-statistic examines the size of the lagged terms of the third order cumulant. Large H-statistics reveal embedded quadratic nonlinearities. Additionally, this statistic operates on single evoked potentials. In an animal model of HI injury we show that the baseline evoked potential morphology maintains a high degree of nonlinearity. More than one third of these baseline cases have high H-statistics (p>.95). After recovery from HI injury, the H-statistic shows a uniform distribution where an expected 5% of the cases adopt this probability value. H-statistic changes reveal a distinctive loss of nonlinear character after HI injury
  • Keywords
    Volterra series; electroencephalography; higher order statistics; medical signal processing; nonlinear filters; probability; somatosensory phenomena; time series; SEP; Volterra filter; animal model; baseline evoked potential morphology; bicorrelation; brain injury episodes; cerebral response; embedded quadratic nonlinearities; evoked potentials; higher order statistics; hypoxic-ischemic injury recovery; inverse filtering; nonlinear changes; nonlinear quadratic filter; phase alterations; probability value; signal shape changes; size of lagged terms; third order cumulants; uniform distribution; Animals; Coherence; Delay; Filters; Frequency; Higher order statistics; Injuries; Morphology; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.747008
  • Filename
    747008