Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier

Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures

(2017) Shivarudhrappa Raghu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain

(2016) Anindya Bijoy Das et al.   Biomedical Signal Processing and Control

Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier

(2016) S. Raghu et al.   Cognitive Neurodynamics

Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection

(2016) J. G. Bogaarts et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

(2015) Rajeev Sharma et al.   Entropy

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

(2015) Rajeev Sharma et al.   Entropy

An automatic mobile-health based approach for EEG epileptic seizures detection

(2015) Mohamed EL Menshawy et al.   EXPERT SYSTEMS WITH APPLICATIONS

Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging

(2015) Weizhi Li et al.   JOURNAL OF BIOMEDICAL OPTICS

Automated diagnosis of epileptic EEG using entropies

(2011) U. Rajendra Acharya et al.   Biomedical Signal Processing and Control

Entropies based detection of epileptic seizures with artificial neural network classifiers

(2009) S. Pravin Kumar et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparison of quantitative EEG features for neonatal seizure detection

(2008) B.R. Greene et al.   CLINICAL NEUROPHYSIOLOGY