• DocumentCode
    2015717
  • Title

    Adaptive coherence estimation reveals nonlinear processes in injured brain

  • Author

    Kong, Xuan ; Thakor, Nitish

  • Author_Institution
    The Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    1
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    87
  • Abstract
    Severe injury to the brain may be expected to produce a nonlinear response in evoked potentials (EPs). The authors present a coherence function based method which readily detects an altered brain function resulting from extraneous injury. The coherence function is used to measure the degree of linear association between the EP signals recorded during normal and abnormal experimental conditions. An adaptive coherence estimation algorithm is developed to estimate time-varying model parameters responsive to the brain injury. A linearity index is devised to obtain a single measure of the brain´s departure from linearity. Analyses of somatosensory EP show a very sharp drop in the magnitude coherence estimates during hypoxic injury and a corresponding rapid decline in the linearity index at the very early stages of the hypoxic injury.<>
  • Keywords
    adaptive filters; bioelectric potentials; brain models; coherence; electroencephalography; medical signal processing; nonlinear systems; time-varying systems; adaptive coherence estimation algorithm; evoked potentials; hypoxic injury; injured brain; nonlinear response; time-varying model parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319061
  • Filename
    319061