Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization

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

Research output: Contribution to journalArticle

26 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)2162-2169
Number of pages8
JournalOptical Engineering
Volume33
Issue number7
StatePublished - Jul 1 1994

Fingerprint

seizures
spikes
wavelet analysis
Wavelet transforms
Electrodes
electrodes
grids
brain
Brain
Fourier transforms
filters

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

Schiff, Steven ; Milton, John G. ; Heller, Joshua ; Weinstein, Steven L. / Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization. In: Optical Engineering. 1994 ; Vol. 33, No. 7. pp. 2162-2169.
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Wavelet transforms and surrogate data for electroencephalographic spike and seizure localization. / Schiff, Steven; Milton, John G.; Heller, Joshua; Weinstein, Steven L.

In: Optical Engineering, Vol. 33, No. 7, 01.07.1994, p. 2162-2169.

Research output: Contribution to journalArticle

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