Name: Epileptic Seizure Prediction Using Electroencephalogram Signals (en Inglés)
SKU: 63505018
Price: 135.38 USD
Availability: InStock
Author: Ratnaprabha Ravindra Borhade; Vinayak K. Bairagi; Manoj S. Nagmode; Ravindra Honaji Borhade

portada Epileptic Seizure Prediction Using Electroencephalogram Signals (en Inglés)

Epileptic Seizure Prediction Using Electroencephalogram Signals (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Ratnaprabha Ravindra Borhade; Vinayak K. Bairagi; Manoj S. Nagmode; Ravindra Honaji Borhade

Idioma

Inglés

N° páginas

154

Encuadernación

Tapa Dura

ISBN13

9781032733234

N° edición

Epileptic Seizure Prediction Using Electroencephalogram Signals (en Inglés)

Ratnaprabha Ravindra Borhade; Vinayak K. Bairagi; Manoj S. Nagmode; Ravindra Honaji Borhade (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Epileptic Seizure Prediction Using Electroencephalogram Signals (en Inglés)"

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 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.