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Activity Number: 150
Type: Contributed
Date/Time: Monday, July 30, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #308305
Title: Time-Frequency Analysis of Electroencephalogram Series
Author(s): Wei Yang*+ and Stephen Wong and Igor Zurbenko
Companies: SUNY at Albany and University of Pennsylvania and SUNY at Albany
Address: , , 12144,
Keywords: EEG ; Seizure ; Epilepsy ; KZFT ; Time-Frequency analysis ; PPF
Abstract:

The Kolmogorov-Zurbenko Fourier transform (KZFT) is an iterated Fourier transform which may overcome the spectral leakage of regular Fourier transform. Simulation studies have shown its superior resolution over the regular Fourier transform. In this paper, KZFT based time-frequency analysis was applied to EEG series from scalp recordings of generalized tonic-clonic seizures. The time-frequency plot showed that the peak power frequency (PPF) slowly decreased within the theta band before the seizure onset and quickly decreased within the delta band during and after the seizure onset. The estimated decreasing rates were 0.014 and 0.09 Hz/second, respectively. In addition, we observed a trend of increasing PPF of delta band activity prior to seizure onset. These findings may contribute to the identification of seizure onset.

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Revised September, 2007