Brain Seizure Detection and Classification Using EEG Signals

Varsha Harpale, Vinayak Bairagi
Elsevier S&T
176 pages
ISBN: 9780323911207
September 2021

The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. It covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT).