论文信息 - Statistical Mapping of Scalp‐Recorded Ictal EEG Records Using Wavelet Analysis

Statistical Mapping of Scalp‐Recorded Ictal EEG Records Using Wavelet Analysis

Summary: Purpose: The wavelet transform (WT) is well suited for the analysis of signals whose characteristics vary rapidly over time. We devised a computerized method for objective scoring of scalp‐recorded seizures that takes advantage of the WT.

[1] T. Gasser,et al. Transformations towards the normal distribution of broad band spectral parameters of the EEG. , 1982, Electroencephalography and clinical neurophysiology.

[2] J. Gotman. Automatic recognition of epileptic seizures in the EEG. , 1982, Electroencephalography and clinical neurophysiology.

[3] T M Darcey,et al. Spatio-temporal EEG measures and their application to human intracranially recorded epileptic seizures. , 1985, Electroencephalography and clinical neurophysiology.

[4] Ingrid Daubechies,et al. The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[5] M Unser,et al. Fast wavelet transformation of EEG. , 1994, Electroencephalography and clinical neurophysiology.

[6] Leonidas D. Iasemidis,et al. Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy , 1996 .

[7] Michael Unser,et al. A review of wavelets in biomedical applications , 1996, Proc. IEEE.

[8] Eero P. Simoncelli,et al. Image compression via joint statistical characterization in the wavelet domain , 1999, IEEE Trans. Image Process..

[9] Flavio Sartoretto,et al. Automatic detection of epileptiform activity by single-level wavelet analysis , 1999, Clinical Neurophysiology.

[10] C E Elger,et al. Visual and Automatic Investigation of Epileptiform Spikes in Intracranial EEG Recordings , 1999, Epilepsia.

[11] Maarten Jansen,et al. Noise Reduction by Wavelet Thresholding , 2001 .