[HTML][HTML] Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

O Faust, UR Acharya, H Adeli, A Adeli - Seizure, 2015 - Elsevier
Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …

Automated EEG analysis of epilepsy: a review

UR Acharya, SV Sree, G Swapna, RJ Martis… - Knowledge-Based …, 2013 - Elsevier
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 …

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

UR Acharya, SL Oh, Y Hagiwara, JH Tan… - Computers in biology and …, 2018 - Elsevier
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 …

Detection of epileptic seizure using pretrained deep convolutional neural network and transfer learning

HS Nogay, H Adeli - European neurology, 2021 - karger.com
Introduction: The diagnosis of epilepsy takes a certain process, depending entirely on the
attending physician. However, the human factor may cause erroneous diagnosis in the …

Scalp EEG classification using deep Bi-LSTM network for seizure detection

X Hu, S Yuan, F Xu, Y Leng, K Yuan, Q Yuan - Computers in Biology and …, 2020 - Elsevier
Automatic seizure detection technology not only reduces workloads of neurologists for
epilepsy diagnosis but also is of great significance for treatments of epileptic patients. A …

DWT based detection of epileptic seizure from EEG signals using naive Bayes and k-NN classifiers

A Sharmila, P Geethanjali - Ieee Access, 2016 - ieeexplore.ieee.org
Electroencephalogram (EEG) comprises valuable details related to the different
physiological state of the brain. In this paper, a framework is offered for detecting the …

Epileptic seizure classification of EEG time-series using rational discrete short-time Fourier transform

K Samiee, P Kovacs, M Gabbouj - IEEE transactions on …, 2014 - ieeexplore.ieee.org
A system for epileptic seizure detection in electroencephalography (EEG) is described in this
paper. One of the challenges is to distinguish rhythmic discharges from nonstationary …

Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

R Sharma, RB Pachori - Expert Systems with Applications, 2015 - Elsevier
Epileptic seizure is the most common disorder of human brain, which is generally detected
from electroencephalogram (EEG) signals. In this paper, we have proposed the new …

Automated diagnosis of epileptic EEG using entropies

UR Acharya, F Molinari, SV Sree… - … signal processing and …, 2012 - Elsevier
Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …

Spiking neural networks

S Ghosh-Dastidar, H Adeli - International journal of neural systems, 2009 - World Scientific
Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …