Brain Seizure Detection and Classification Using EEG Signals Harpale Bairagi

Brain Seizure Detection and Classification Using EEG SignalsAuthor(s): Varsha K. Harpale, Vinayak Bairagi\nFormat: Paperback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Academic Press Inc\nISBN-13: 9780323911207, 978-0323911207\nSynopsis\nBrain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book 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.