Application of time frequency and wavelet analysis to the diagnosis of epilepsy

Mingui Sun; Lin-Sen Pon; Mark L. Scheuer; Robert J. Sclabassi

doi:10.1117/12.381682

5 April 2000 Application of time frequency and wavelet analysis to the diagnosis of epilepsy

Mingui Sun, Lin-Sen Pon, Mark L. Scheuer, Robert J. Sclabassi

Proceedings Volume 4056, Wavelet Applications VII; (2000) https://doi.org/10.1117/12.381682
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Wavelet transforms and time-frequency distributions are powerful techniques for analysis of nonstationary biomedical signals. This paper investigates three applications of these techniques to multichannel electroencephalography (EEG) for the diagnosis of epilepsy. Wavelet transforms are utilized to detect the onset of seizures at different sites of subdural electrodes, and to extract spike patterns from EEG data recorded from the scalp. Time-frequency distributions are applied to characterize the early activity of seizures.

Citation Download Citation

Mingui Sun, Lin-Sen Pon, Mark L. Scheuer, and Robert J. Sclabassi "Application of time frequency and wavelet analysis to the diagnosis of epilepsy", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381682

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