Brain Seizure Detection and Classification Using EEG Signals
Published on 14. September 2021
Book
Paperback/Softback
176 pages
978-0-323-91120-7 (ISBN)
Description
Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT).
The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance.
The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Biomedical Engineers and researchers in neural engineering and EEG signal processing Students, researchers and clinicians in neuroscience, neurologists, and neurosurgeons. Corporate market for researchers and industries developing EEG instruments and technology
Dimensions
Height: 229 mm
Width: 152 mm
Weight
290 gr
ISBN-13
978-0-323-91120-7 (9780323911207)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Varsha K. Harpale | Vinayak Bairagi
Brain Seizure Detection and Classification Using EEG Signals
E-Book
09/2021
Academic Press
€148.00
Available for download
Persons
Dr. Mrs. Varsha K. Harpale, is working as academician in Pimpri Chinchwad College of Engg. Pune Maharashtra, India. Her work profile is Associate Professor in E&TC and Associate Dean Quality Assurance for maintaining and improving quality of education in autonomous institute. She has completed her PhD in biomedical signal processing. She has 20 years of teaching experiences, 2 books , 4 copyrights, 2 patents, best paper awards and 30+ quality publication on her credits. She is currently working as member secretary of IEEE Signal Processing Society, Pune Chapter. Dr. Vinayak K. Bairagi, is a recognized PhD guide in Savitribai Phule Pune University. He is working as Professor at Department of E electronics and Telecommunication Engg. and actively working as Chairman, IEEE Signal Processing Society Pune Chapter. He has teaching experience of 14 years and research experience of 10 years. He has filed 12 patents and 5 copyrights in technical field. He has published more than 70 papers. He has received IEI national level Young Engineer Award (2014) and ISTE national level Young Researcher Award (2015) for his excellence in the field of engineering. He also has 5 books and 6 book chapters on his credits. His area of interest is Biomedical Signal Processing and Brain Imaging.
Content
1. Introduction2. EEG processing and artifact removal3. Seizure detection4. Seizure prediction5. Seizure classification6. Result and discussion