Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods

C Mahjoub, R Le Bouquin Jeannès, T Lajnef… - Biomedical …, 2020 - degruyter.com
Electroencephalography (EEG) is a common tool used for the detection of epileptic seizures.
However, the visual analysis of long-term EEG recordings is characterized by its subjectivity …

Detection of epileptic seizures using eeg signals

S Gupta, S Bagga, V Maheshkar… - … Conference on Artificial …, 2020 - ieeexplore.ieee.org
Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG

P Boonyakitanont, A Lek-Uthai, K Chomtho… - … Signal Processing and …, 2020 - Elsevier
Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …

[HTML][HTML] Automatic epileptic seizure detection in EEG signals using multi-domain feature extraction and nonlinear analysis

L Wang, W Xue, Y Li, M Luo, J Huang, W Cui, C Huang - Entropy, 2017 - mdpi.com
Epileptic seizure detection is commonly implemented by expert clinicians with visual
observation of electroencephalography (EEG) signals, which tends to be time consuming …

[HTML][HTML] Automated diagnosis of epileptic seizures using eeg image representations and deep learning

T Kaur, TK Gandhi - Neuroscience Informatics, 2023 - Elsevier
Background The identification of seizure and its complex waveforms in
electroencephalography (EEG) through manual examination is time consuming, tedious …

[HTML][HTML] Classification of single-channel EEG signals for epileptic seizures detection based on hybrid features

Y Lu, Y Ma, C Chen, Y Wang - Technology and Health Care, 2018 - content.iospress.com
BACKGROUND: Epilepsy is a common chronic neurological disorder of the brain. Clinically,
epileptic seizures are usually detected via the continuous monitoring of …

A unified framework and method for EEG-based early epileptic seizure detection and epilepsy diagnosis

Z Chen, G Lu, Z Xie, W Shang - IEEE Access, 2020 - ieeexplore.ieee.org
Electroencephalogram (EEG) contains important physiological information that can reflect
the activity of human brain, making it useful for epileptic seizure detection and epilepsy …

[HTML][HTML] A review of epileptic seizure detection using machine learning classifiers

MK Siddiqui, R Morales-Menendez, X Huang… - Brain informatics, 2020 - Springer
Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …

[HTML][HTML] Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm

RN Bairagi, M Maniruzzaman, S Pervin, A Sarker - Soft Computing Letters, 2021 - Elsevier
A patient-specific novel systematic methodology is described in this study for automatic
seizure detection from raw electroencephalogram (EEG) signals. Filtering process by means …

[HTML][HTML] Machine learning-based epileptic seizure detection methods using wavelet and EMD-based decomposition techniques: A review

RG Thangarajoo, MBI Reaz, G Srivastava, F Haque… - Sensors, 2021 - mdpi.com
Epileptic seizures are temporary episodes of convulsions, where approximately 70 percent
of the diagnosed population can successfully manage their condition with proper medication …