Epileptic Seizure Prediction Using Electroencephalogram Signals
Epileptic Seizure Prediction Using Electroencephalogram Signals by Ratnaprabha Ravindra Borhade, Vinayak K. Bairagi, Manoj S. Nagmode
English | December 19, 2024 | ISBN: 1032714395 | 154 pages | MOBI | 6.55 Mb
English | December 19, 2024 | ISBN: 1032714395 | 154 pages | MOBI | 6.55 Mb
This book presents an innovative method of EEG-based feature extraction and classification of seizures using EEG signals. It describes the methodology required for EEG analysis, seizure detection, seizure prediction, and seizure classification. It contains a compilation of techniques described in the literature and emphasizes newly proposed techniques. The book includes a brief discussion of existing methods for epileptic seizure diagnosis and prediction and introduces new efficient methods specifically for seizure prediction.
- Focuses on the mathematical models and machine learning algorithms from a perspective of clinical deployment of EEG-based epileptic seizure prediction
- Discusses recent trends in seizure detection, prediction, and classification methodologies
- Provides engineering solutions to severity or risk analysis of detected seizures at remote places
- Presents wearable solutions to seizure prediction
- Includes details of the use of deep learning for epileptic seizure prediction using EEG
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