1st Edition

Epileptic Seizure Prediction Using Electroencephalogram Signals

    136 Pages 48 B/W Illustrations
    by Chapman & Hall

    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.


    1: Introduction 2: Electroencephalography 3: Epilepsy Detection 4: Existing Methods for Epileptic Seizure Prediction using Electroencphalegram Signals 5: Epileptic Seizure Prediction with EEG Signal Using Deep Recurrent Neural Network 6: Epileptic Seizure Prediction using Squirrle Atom Search Optimization Algorithm based Deep RNN 7: Contribution of Research and Conclusion


    Dr. Ratnaprabha Ravindra Borhade is working as academician in Cummins College of Engg. For Women Pune Maharashtra, India. Her work profile is Assistant Professor in E&TC in autonomous institute. She has completed her PhD in biomedical signal processing. She has 15 years of teaching experiences. She has published research papers in in SCI Indexing list and has authored more than 4 book chapters. Her area of interest is Biomedical Signal Processing and Brain Imaging.

    Dr. Vinayak. K. Bairagi has completed M.E. (Electronic) from Sinhgad COE, Pune in 2007 (1st Rank in SPPU). Savitribai Phule Pune University has awarded him a PhD degree in Engineering. He has teaching experience of 15 years and research experience of 8 years. He has filed 12 patents and 5 copyrights in technical field. He has published more than 60 papers, of which 26 papers are in International journals of which 15 papers in SCI Indexing list. He has authored/edited more than 8 books / book chapters with various publications. He is a reviewer for nine scientific journals. He has received grants from DST SERB, UoP-BUCD, GYTI. He has received more than 14 awards, which includes National level Young Engineer Award (2014), ISTE National level Young Researcher Award (2015) for his excellence in the field of engineering and IETE M N SAHA Memorial Award-2018. He is the member of INENG (UK), IETE (India), ISTE (India), IEI & BMS (India). He had worked on in Image compression at College of Engineering, Pune, under Pune University. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis and Medical signal processing. Currently he is associated with AISSMS Institute of Information Technology, Pune as Professor in Electronics and Telecommunication Engineering. He is recognized PhD Guide in Electronics engineering of Savitribai Phule Pune University. Presently he is guiding 7 PhD Students.

    Dr. Manoj S. Nagmode, is currently working as Professor and HoD in Government College of Engineering and Research, Avasari, Pune, India, in the Department of Electronics and Telecommunication Engineering. He is having teaching experience of more than 22 years. He has published more than 45 research papers in various reputed journals and conferences. He is an author of Taylor and Francis series book on research methodology. He has worked in different committees for the evaluation of research papers. His areas of interest include Image processing, Signal processing and Embedded systems. He was awarded Ph.D. degree by University of Pune, India in 2009 in Electronics and Telecommunication Engineering in the domain of Video Processing. 

    Ravindra Honaji Borhade has published more than 20 research papers in various reputed journals and conferences. He is an author of 2 books, Mobile computing and Basics of Computer Network.  He guided more than 38 UG projects and 18 PG projects. He has worked as a institute level Incharge of ‘Techtonic’ National level technical event for more than 10 years. He has worked as Campus Incharge of Engineering club of ‘Sinhgad Student Council (SSC)’ for more than 10 years.  He has worked as Institute Website Incharge more than 7 years. His areas of interest include, Mobile Communication, Networking, security, Internet of things (IoT), Image processing, Signal processing and Cloud Computing.