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Conclusions

  • Applying the autoregressive model to EEG signals allows enhanced time-frequency analysis of non-periodic non-linear components of the signal
  • MP analysis of residuals makes possible detection of low amplitude transients
  • This combined approach can aid detection and localization of seizure onset but more cases are required to correlate patterns with focus localization and dynamics of spread.


  • Supported by NIH grant NS 33732.


    next up previous
    Next: Bibliography Up: COMBINED MULTICHANNEL AUTOREGRESSIVE AND Previous: Results