[HTML][HTML] Minireview of epilepsy detection techniques based on electroencephalogram signals

G Liu, R Xiao, L Xu, J Cai - Frontiers in systems neuroscience, 2021 - frontiersin.org
Epilepsy is one of the most common neurological disorders typically characterized by
recurrent and uncontrollable seizures, which seriously affects the quality of life of 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] 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 …

Automated epilepsy detection techniques from electroencephalogram signals: a review study

S Supriya, S Siuly, H Wang, Y Zhang - Health information science and …, 2020 - Springer
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 …

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 on EEG based epileptic seizures detection using deep learning techniques

S Cherukuvada, R Kayalvizhi - 2022 4th International …, 2022 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG) modalities have
been used in several screening procedures to diagnose epileptic seizures with a high-level …

A review on the pattern detection methods for epilepsy seizure detection from EEG signals

A Sharmila, P Geethanjali - Biomedical Engineering/Biomedizinische …, 2019 - degruyter.com
Over several years, research had been conducted for the detection of epileptic seizures to
support an automatic diagnosis system to comfort the clinicians' encumbrance. In this …

An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection

J Saini, M Dutta - Network: Computation in Neural Systems, 2017 - Taylor & Francis
Epilepsy is considered as fourth most prominent neurological disorder in the world that can
affect people of all age groups. Currently, around 65 million people throughout the world are …

[HTML][HTML] A recent investigation on detection and classification of epileptic seizure techniques using EEG signal

S Saminu, G Xu, Z Shuai, I Abd El Kader, AH Jabire… - Brain sciences, 2021 - mdpi.com
The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …

[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 …