Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization

Steven J. Schiff; John G. Milton; Joshua Heller; Steven L. Weinstein

doi:10.1117/12.172248

Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization

Steven J. Schiff, John G. Milton, Joshua Heller, Steven L. Weinstein

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

Wavelet transforms are used to analyze electroencephalographic data recorded from individual subdural electrodes and 2D 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 offer a method to localize the foci of epileptic seizures from electrode grids.

Original language	English (US)
Pages (from-to)	2162-2169
Number of pages	8
Journal	Optical Engineering
Volume	33
Issue number	7
DOIs	https://doi.org/10.1117/12.172248
State	Published - 1994

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/12.172248

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abstract = "Wavelet transforms are used to analyze electroencephalographic data recorded from individual subdural electrodes and 2D 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 offer a method to localize the foci of epileptic seizures from electrode grids.",

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AU - Heller, Joshua

AU - Weinstein, Steven L.

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AB - Wavelet transforms are used to analyze electroencephalographic data recorded from individual subdural electrodes and 2D 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 offer a method to localize the foci of epileptic seizures from electrode grids.

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JF - Optical Engineering

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Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization

Abstract

All Science Journal Classification (ASJC) codes

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