Automated EEG analysis of epilepsy: a review
Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …
Application of entropies for automated diagnosis of epilepsy using EEG signals: A review
Epilepsy is the neurological disorder of the brain which is difficult to diagnose visually using
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of
epilepsy. The EEG signal contains information about the electrical activity of the brain …
epilepsy. The EEG signal contains information about the electrical activity of the brain …
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
Epilepsy is a life-threatening and challenging neurological disorder, which is affecting a
large number of people all over the world. For its detection, encephalography (EEG) is a …
large number of people all over the world. For its detection, encephalography (EEG) is a …
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
In this study, three popular signal processing techniques (Empirical Mode Decomposition,
Discrete Wavelet Transform, and Wavelet Packet Decomposition) were investigated for the …
Discrete Wavelet Transform, and Wavelet Packet Decomposition) were investigated for the …
Automated diagnosis of epileptic EEG using entropies
Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …
Artificial intelligence techniques for automated diagnosis of neurological disorders
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals
UR Acharya, SV Sree, PCA Ang, R Yanti… - International journal of …, 2012 - World Scientific
Epilepsy, a neurological disorder, is characterized by the recurrence of seizures.
Electroencephalogram (EEG) signals, which are used to detect the presence of seizures, are …
Electroencephalogram (EEG) signals, which are used to detect the presence of seizures, are …
Automated diagnosis of epilepsy using key-point-based local binary pattern of EEG signals
The electroencephalogram (EEG) signals are commonly used for diagnosis of epilepsy. In
this paper, we present a new methodology for EEG-based automated diagnosis of epilepsy …
this paper, we present a new methodology for EEG-based automated diagnosis of epilepsy …
Automated epilepsy detection techniques from electroencephalogram signals: a review study
Epilepsy is a serious neurological condition which contemplates as top 5 reasons for
avoidable mortality from ages 5–29 in the worldwide. The avoidable deaths due to epilepsy …
avoidable mortality from ages 5–29 in the worldwide. The avoidable deaths due to epilepsy …