Epileptic seizure classification using statistical sampling and a novel feature selection algorithm

M Mursalin, SS Islam, MK Noman… - arXiv preprint arXiv …, 2019 - arxiv.org
Epilepsy is a well-known neuronal disorder that can be identified by interpretation of the
electroencephalogram (EEG) signal. Usually, the length of an EEG signal is quite long 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 …

Regularity and matching pursuit feature extraction for the detection of epileptic seizures

Z Emigdio, L Trujillo, A Sotelo, P Legrand… - Journal of neuroscience …, 2016 - Elsevier
Background The neurological disorder known as epilepsy is characterized by involuntary
recurrent seizures that diminish a patient's quality of life. Automatic seizure detection can …

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 …

[HTML][HTML] A Robust Automatic Epilepsy Seizure Detection Algorithm Based on Interpretable Features and Machine Learning

S Liu, Y Zhou, X Yang, X Wang, J Yin - Electronics, 2024 - mdpi.com
Epilepsy, as a serious neurological disorder, can be detected by analyzing the brain signals
produced by neurons. Electroencephalogram (EEG) signals are the most important data …

Revealing false positive features in epileptic EEG identification

J Lian, Y Shi, Y Zhang, W Jia, X Fan… - International Journal of …, 2020 - World Scientific
Feature selection plays a vital role in the detection and discrimination of epileptic seizures in
electroencephalogram (EEG) signals. The state-of-the-art EEG classification techniques …

A Machine Learning Framework for Robust Epileptic Seizure Detection from EEG Sign

M Singh, G Jagyasi, M Garg, A Jain… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Millions of individuals throughout the world suffer from epilepsy, a neurological illness
characterized by frequent seizures. To improve patient safety and quality of life, seizure …

An automated approach for electroencephalography-based seizure detection using machine learning algorithms

V Patel, D Bhatti, A Ganatra… - International Journal of …, 2022 - inderscienceonline.com
Epilepsy is a chronic neurological disease that causes recurrent life-threatening seizures
due to irregular brain activity. The purpose of seizure detection algorithms is to detect …

A comparative assessment of machine learning techniques for epilepsy detection using eeg signal

B Dhanka, A Vijayvargiya, R Kumar… - 2020 IEEE 7th Uttar …, 2020 - ieeexplore.ieee.org
Epilepsy is a psychological issue that causes ridiculous, repetitive seizures. A seizure is an
unexpected surge of electrical activity in the cerebrum. Since traditional time or recurrence …

Epileptic seizure detection using machine learning: Taxonomy, opportunities, and challenges

MS Farooq, A Zulfiqar, S Riaz - Diagnostics, 2023 - mdpi.com
Epilepsy is a life-threatening neurological brain disorder that gives rise to recurrent
unprovoked seizures. It occurs due to abnormal chemical changes in our brains. For many …