Epileptic seizure prediction using electroencephalogram signals / Ratnaprabha Ravindra Borhade, Vinayak K. Bairagi, Manoj S. Nagmode, Ravindra Honaji Borhade.

Author/creator Borhade, Ratnaprabha Ravindra
Other author Bairagi, Vinayak.
Other author Nagmode, Manoj S.
Other author Borhade, Ravindra Honaji.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : Chapman & Hall/CRC Press, 2025.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects
Seizures--prevention & control.
Electroencephalography
Signal Transduction

Contents Electroencephalography -- Epilepsy Detection -- Existing Methods for Epileptic Seizure Prediction using Electroencephalogram Signals -- Epileptic Seizure Prediction with EEG Signal Using Deep Recurrent Neural Network -- Epileptic Seizure Prediction using Squirrle Atom Search Optimization Algorithm based Deep RNN -- Contribution of Research and Conclusion.
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2024029343
ISBN9781032714394 (hbk)
ISBN9781032725949 (pbk)
ISBN(ebk)

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