EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
  • Author : Sandeep Kumar Satapathy
  • Release Date : 10 February 2019
  • Publisher : Academic Press
  • Genre : Medical
  • Pages : 134
  • ISBN 13 : 9780128174272

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection Book Summary

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Author : Sandeep Kumar Satapathy,Satchidananda Dehuri,Alok Kumar Jagadev,Shruti Mishra
Publisher : Academic Press
Genre : Medical
Total View : 6276 Views
File Size : 55,7 Mb
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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN ...

Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using EEG Signals

Author : Varsha K. Harpale,Vinayak Bairagi
Publisher : Academic Press
Genre : Science
Total View : 6866 Views
File Size : 45,8 Mb
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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 ...

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Author : Sandeep Kumar Satapathy, PhD,Satchidananda Dehuri, PhD,Alok Kumar Jagadev, PhD,Shruti Mishra, PhD
Publisher : Academic Press
Genre : Medical
Total View : 4716 Views
File Size : 53,6 Mb
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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN ...

Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using EEG Signals

Author : Varsha K. Harpale,Vinayak Bairagi
Publisher : Elsevier
Genre : Science
Total View : 7408 Views
File Size : 54,6 Mb
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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 ...

EEG Signal Analysis and Classification

EEG Signal Analysis and Classification

Author : Siuly Siuly,Yan Li,Yanchun Zhang
Publisher : Springer
Genre : Technology & Engineering
Total View : 2260 Views
File Size : 48,5 Mb
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This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the ...

EEG Signal Processing

EEG Signal Processing

Author : Saeid Sanei,Jonathon A. Chambers
Publisher : John Wiley & Sons
Genre : Science
Total View : 9518 Views
File Size : 47,6 Mb
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Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical ...

KNN Classifier and K Means Clustering for Robust Classification of Epilepsy from EEG Signals  A Detailed Analysis

KNN Classifier and K Means Clustering for Robust Classification of Epilepsy from EEG Signals A Detailed Analysis

Author : Harikumar Rajaguru,Sunil Kumar Prabhakar
Publisher : Anchor Academic Publishing
Genre : Computers
Total View : 9808 Views
File Size : 50,8 Mb
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Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms ...

Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals

Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals

Author : Harikumar Rajaguru,Sunil Kumar Prabhakar
Publisher : Anchor Academic Publishing
Genre : Computers
Total View : 7540 Views
File Size : 51,6 Mb
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Epilepsy is a common and diverse set of chronic neurological disorders characterized by seizures. It is a paroxysmal behavioral spell generally caused by an excessive disorderly discharge of cortical nerve cells of the brain. Epilepsy is marked by the term “epileptic seizures”. Epileptic seizures result from abnormal, excessive or hyper-synchronous ...