Epileptic Seizure Prediction Using Electroencephalogram Signals

By: Ratnaprabha Ravindra Borhade, Vinayak K. Bairagi, Manoj S. Nagmode

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Hardcover | 19 December 2024

At a Glance

Hardcover
156 Pages

Dimensions(cm)
23.39 x 15.6 x 1.12

Hardcover

RRP $242.00

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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 all techniques used in the literature and emphasises on newly proposed techniques. The book concentrates on 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

This book acts as a reference for academicians and professionals who are working in the field of Computational Biomedical Engineering and are interested in the domain of EEG-based disease prediction.

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