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 …
A multi-view deep learning framework for EEG seizure detection
The recent advances in pervasive sensing technologies have enabled us to monitor and
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
A hybrid deep learning approach for epileptic seizure detection in EEG signals
Early detection and proper treatment of epilepsy is essential and meaningful to those who
suffer from this disease. The adoption of deep learning (DL) techniques for automated …
suffer from this disease. The adoption of deep learning (DL) techniques for automated …
A novel deep neural network for robust detection of seizures using EEG signals
The detection of recorded epileptic seizure activity in electroencephalogram (EEG)
segments is crucial for the classification of seizures. Manual recognition is a time …
segments is crucial for the classification of seizures. Manual recognition is a time …
Detection of focal and non-focal epileptic seizure using continuous wavelet transform-based scalogram images and pre-trained deep neural networks
A Narin - Irbm, 2022 - Elsevier
Epilepsy is a neurological disease from which a large number of younger and older people
suffer all over the world. The status of the patients is primarily examined by using …
suffer all over the world. The status of the patients is primarily examined by using …
A multi-view deep learning method for epileptic seizure detection using short-time fourier transform
With the advances in pervasive sensor technologies, physiological signals can be captured
continuously to prevent the serious outcomes caused by epilepsy. Detection of epileptic …
continuously to prevent the serious outcomes caused by epilepsy. Detection of epileptic …
Epileptic seizure detection based on EEG signals and CNN
M Zhou, C Tian, R Cao, B Wang, Y Niu, T Hu… - Frontiers in …, 2018 - frontiersin.org
Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …
the World Health Organization. While electroencephalography (EEG) plays important roles …
Deep multi-view feature learning for EEG-based epileptic seizure detection
Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where
epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram …
epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram …
Automatic epileptic EEG detection using convolutional neural network with improvements in time-domain
Z Wei, J Zou, J Zhang, J Xu - Biomedical Signal Processing and Control, 2019 - Elsevier
Epilepsy is a neurological disorder, and clinicians usually diagnose epilepsy by interpreting
electroencephalogram (EEG) manually. This paper proposes a novel automatic epileptic …
electroencephalogram (EEG) manually. This paper proposes a novel automatic epileptic …
Epileptic seizure detection: A deep learning approach
Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …
epileptic seizures can considerably improve the patients' quality of life. Current …