Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals
Epilepsy is a neurological disorder causing abnormal activities in the brain such as seizures,
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
Epileptic seizure detection using a hybrid 1D CNN‐machine learning approach from EEG data
F Hassan, SF Hussain… - Journal of Healthcare …, 2022 - Wiley Online Library
Electroencephalography (EEG) is a widely used technique for the detection of epileptic
seizures. It can be recorded in a noninvasive manner to present the electrical activity of the …
seizures. It can be recorded in a noninvasive manner to present the electrical activity of the …
Automatic seizure detection based on time‐frequency analysis and artificial neural networks
AT Tzallas, MG Tsipouras… - Computational …, 2007 - Wiley Online Library
The recording of seizures is of primary interest in the evaluation of epileptic patients. Seizure
is the phenomenon of rhythmicity discharge from either a local area or the whole brain and …
is the phenomenon of rhythmicity discharge from either a local area or the whole brain and …
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 …
Epileptic seizure detection using deep learning approach
ST Jaafar, M Mohammadi - UHD Journal of Science and …, 2019 - journals.uhd.edu.iq
An epileptic seizure is a sign of abnormal activity in the human brain. Electroencephalogram
(EEG) is a standard tool that has been used vastly for detection of seizure activities. Many …
(EEG) is a standard tool that has been used vastly for detection of seizure activities. Many …
[Retracted] Enhanced Feature Extraction‐based CNN Approach for Epileptic Seizure Detection from EEG Signals
P Dhar, VK Garg, MA Rahman - Journal of healthcare …, 2022 - Wiley Online Library
One of the most common neurological disorders is epilepsy, which disturbs the nerve cell
activity in the brain, causing seizures. Electroencephalography (EEG) signals are used to …
activity in the brain, causing seizures. Electroencephalography (EEG) signals are used to …
A deep learning scheme for automatic seizure detection from long-term scalp EEG
Epilepsy is a chronic brain disorder that is expressed by seizures. Monitoring brain activity
via electroencephalogram (EEG) is an established method for epilepsy diagnosis and for …
via electroencephalogram (EEG) is an established method for epilepsy diagnosis and for …
[HTML][HTML] Automatic seizure detection based on imaged-EEG signals through fully convolutional networks
Seizure detection is a routine process in epilepsy units requiring manual intervention of well-
trained specialists. This process could be extensive, inefficient and time-consuming …
trained specialists. This process could be extensive, inefficient and time-consuming …
Patient-independent seizure detection based on channel-perturbation convolutional neural network and bidirectional long short-term memory
Automatic seizure detection is of great significance for epilepsy diagnosis and alleviating the
massive burden caused by manual inspection of long-term EEG. At present, most seizure …
massive burden caused by manual inspection of long-term EEG. At present, most seizure …
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 …