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  1. Examination of scale-invariant characteristics of epileptic electroencephalograms using wavelet-based analysis
  2. Computational validation of fractal characterization by using the wavelet-based fractal analysis
  3. Temporal Characteristics of Wavelet Subbands of Epileptic Scalp EEG Data Based on the Number of Local Min–Max
  4. Characteristics of local min-max amplitude of wavelet subbands of scalp epileptic EEG
  5. CLASSIFICATION OF TEMPORAL CHARACTERISTICS OF EPILEPTIC EEG SUBBANDS BASED ON THE LOCAL MAXIMA
  6. Examination of temporal characteristic of sleep EEG subbands based on the local min-max
  7. Wavelet-based fractal analysis of sleep EEG
  8. Investigation of temporal variability of sleep EEG
  9. Investigation of temporal variability of epileptic EEG signals
  10. Wavelet-based fractal analysis of multi-channel epileptic ECoG
  11. Comparison of temporal variability of epileptic ECoG signals
  12. Wavelet-based fractal analysis of the epileptic EEG signal
  13. Investigation of Neonatal EEG Time Series Using a Modified Nonlinear Dynamical Analysis
  14. An approach for characterizing coupling in dynamical systems
  15. Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
  16. Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between sleep state and complexity
  17. Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between neurodevelopment and complexity
  18. P1-134 Predictions of maturational change using computational analyses of neonatal sleep
  19. Detection and visualization of tandem repeats in dna sequences