Andere Kunden interessierten sich auch für
![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")
KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis39,99 €![Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level Classification from EEG Signals]( "Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level Classification from EEG Signals")
Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level Classification from EEG Signals29,99 €![Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks]( "Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks")
Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks39,99 €![An Improved and Robust Anonymous Authentication Scheme for Roaming in Global Mobility Networks]( "An Improved and Robust Anonymous Authentication Scheme for Roaming in Global Mobility Networks")
An Improved and Robust Anonymous Authentication Scheme for Roaming in Global Mobility Networks39,99 €![Efficient Anonymous Authentication and Key Management Techniques for Vehicular Ad-hoc Networks]( "Efficient Anonymous Authentication and Key Management Techniques for Vehicular Ad-hoc Networks")
Efficient Anonymous Authentication and Key Management Techniques for Vehicular Ad-hoc Networks49,99 €![Data Analysis of Factors Affecting Epileptic Seizure of Patients]( "Data Analysis of Factors Affecting Epileptic Seizure of Patients")
Data Analysis of Factors Affecting Epileptic Seizure of Patients26,99 €![ANFIS Technique for Identification of Digitally Modulated Signals]( "ANFIS Technique for Identification of Digitally Modulated Signals")
ANFIS Technique for Identification of Digitally Modulated Signals51,99 €
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 neuronal activity in the brain. About 50 million people worldwide have epilepsy, and nearly 80% of epilepsy occurs in developing countries. The most common way to interfere with epilepsy is to analyse the EEG (electroencephalogram) signal which is a non-invasive, multi channel recording of the brain's electrical activity. It is also essential to classify the risk levels of epilepsy so that the diagnosis can be made easier.
This study investigates the possibility of Extreme Learning Machine (ELM) and Continuous GA as a post classifier for detecting and classifying epilepsy of various risk levels from the EEG signals. Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are used for dimensionality reduction.
This study investigates the possibility of Extreme Learning Machine (ELM) and Continuous GA as a post classifier for detecting and classifying epilepsy of various risk levels from the EEG signals. Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are used for dimensionality reduction.