Characteristic of Spectral Exponent of Epileptic ECoG Data Corresponding to Levels in Wavelet-Based Fractal Analysis

نویسندگان

  • Suparerk Janjarasjitt
  • Kenneth A. Loparo
چکیده

In this study, the wavelet-based fractal analysis is applied to analyze epileptic ECoG data obtained during nonseizure period and epileptic seizure events. The spectral exponents of the epileptic ECoG data obtained using the waveletbased fractal analysis from various intervals of levels are examined. The computational results show that the estimated spectral exponents of the epileptic ECoG epochs vary according to the levels m used in the estimation of slope of log 2 var(dm,n)m graphs. Also, it is shown that the spectral exponents of epileptic ECoG data obtained during epileptic seizure events are different from those of epileptic ECoG data obtained during non-seizure period. The most difference between the spectral exponents of epileptic ECoG data obtained during non-seizure period and epileptic seizure events is observed in the 125.0– 15.625 frequency band.

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تاریخ انتشار 2013