Publications
Article · June 1, 2008
Analysis of Epileptic Seizures in EEG using Wavelet Transforms
Berdakh Abibullaev, Hee-Don Seo, Minsoo Kim
Abstract
We propose a novel method for the detection and localizing of noisy recorded epileptic transients using continuous time wavelet transform, by employing the best basis wavelet functions. We demonstrate the efficiency of the method on data to identify and clearly locate in time the seizure epochs such as preseizure, seizure and activities post seizure. It shows that our method is superior both in separation from noise and in identifying superimposed epileptic action potentials. This proposed best basis wavelet function method provides a significant improvement under extremely low signal to noise ratios and low spike firing rate, a situation commonly found in actual experiments.
EEG and Brain-Computer InterfacesEpilepsy research and treatmentECG Monitoring and Analysisepileptic seizuresEEGseizure detection
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