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- W1009412222 abstract "Epilepsy is a neurological disorder that can be assessed by electroencephalogram (EEG). EEG signals, which are highly non-linear and non-stationary in nature, are very difficult to characterize and interpret. Wavelet transform is a very effective tool for analyzing non-stationary signals. A method of automatic detection of epileptic seizures from scalp EEG is discussed in this paper. EEG signals are undergone wavelet decomposition and features such as mean and variance are extracted. A linear classifier is used for classification and could achieve an accuracy of 97.19%. General Terms Biomedical Signal Processing, Pattern Recognition" @default.
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- W1009412222 date "2015-09-04" @default.
- W1009412222 modified "2023-09-23" @default.
- W1009412222 title "Analysis of Epileptic Seizures in Wavelet Domain" @default.
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