1 July 1994 Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization
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Optical Engineering, 33(7), (1994). doi:10.1117/12.172248
Abstract
Wavelet transforms are used to analyze electroencephalographic data recorded from individual subdural electrodes and 2-D electrode grids in direct contact with the brain. Surrogate data techniques are used to filter noise and resolve structure in the data. Spike and seizure detection from individual electrodes with wavelet transforms are compared with windowed Fourier transforms. Wavelet transforms are a powerful means to identify epileptiform activity such as spikes from such data and also ofter a method to localize the foci of epileptic seizures from electrode grids.
Steven J. Schiff, John G. Milton, Joshua Heller, Steven L. Weinstein, "Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization," Optical Engineering 33(7), (1 July 1994). http://dx.doi.org/10.1117/12.172248
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KEYWORDS
Wavelets

Electroencephalography

Electrodes

Wavelet transforms

Fourier transforms

Data modeling

Software

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