Paper
1 September 1995 Wavelet analysis of spectrogram seizure chirps
John J. Benedetto, David Colella
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Abstract
A redundant wavelet filtering method is used in conjunction with spectrogram computations to address a component of the problem of predicting epileptic seizure activity. It is shown that spectrograms of seizure episodes exhibit multiple chirps consistent with the relatively simple almost periodic behavior of the observed time series. Scalograms corresponding to a redundant (non-dyadic) wavelet analysis are used to provide finer information about these chirps, including their evolution in preseizure intervals. Detection of the origin of such periodicities are useful in the prediction problem.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John J. Benedetto and David Colella "Wavelet analysis of spectrogram seizure chirps", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217606
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Cited by 20 scholarly publications.
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KEYWORDS
Wavelets

Brain

Continuous wavelet transforms

Electrodes

Electroencephalography

Signal processing

Statistical analysis

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