Brain Seizure Detection and Classification Using Electroencephalographic Signals

Authored by Varsha K. Harpale, this book delves into the realm of EEG signal processing and analysis, presenting high-performance feature extraction methods for accurate brain seizure detection and classification.

Comprehensive EEG Signal Processing and Analysis

The book covers the essential concepts of EEG signal processing and analysis, featuring a unique approach to feature selection using One-way ANOVA. This method is combined with advanced machine learning classifiers to classify EEG signals into normal and epileptic categories.

Innovative Feature Extraction Methods

The authors introduce novel feature extraction techniques, including Singular Spectrum-Empirical Wavelet Transform (SSEWT), which significantly improves seizure classification in significant seizure types, such as epileptic and Non-Epileptic Seizures (NES). The performance of these methods is compared to existing feature extraction techniques, including Wavelet Transform (WT) and Empirical Wavelet Transform (EWT).

Understanding Epileptic Seizures

Epileptic seizures are neurological disorders characterized by abnormal brain activity, where an influx of neurons are excited simultaneously, often triggered by brain injuries or chemical imbalances. Accurate detection and classification of these seizures are crucial to prevent misdiagnosis and unnecessary antiepileptic medication.

Key Features and Takeaways

• Presents EEG signal processing and analysis concepts with high-performance feature extraction
• Discusses recent trends in seizure detection, prediction, and classification methodologies
• Helps classify epileptic and non-epileptic seizures, reducing the risk of misdiagnosis and unnecessary medication
• Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA
• Introduces innovative feature extraction methods developed by the authors, including Singular Spectrum-Empirical Wavelet Transform (SSEWT)

Published by Elsevier Science in September 2021, this book is a valuable resource for researchers, medical professionals, and students seeking to advance their knowledge in EEG signal analysis and seizure detection.