Seizure detection using nonlinear measures over EEG frequency bands and deep learning classifiers

A Benzaid, R Djemili, K Arbateni - Computer Methods in …, 2024 - Taylor & Francis
Epilepsy is a brain disorder that causes patients to suffer from convulsions, which affects
their behavior and way of life. Epilepsy can be detected with electroencephalograms …

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 …

Epileptic Seizure detection in EEG signals using Machine Learning and Deep Learning Techniques.

H Kode, K Elleithy, L Almazedah - IEEE Access, 2024 - ieeexplore.ieee.org
This research presents a novel approach to detecting epileptic seizures leveraging the
strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals …

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 …

[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 …

A seizure detection method based on well-solved nonlinear and non-stationary problems with electroencephalographic signals

X Zhang, H Chen - Biomedical Engineering: Applications, Basis and …, 2018 - World Scientific
The main focus of this paper is to solve the nonlinear and non-stationary problems in
electroencephalographic (EEG) signals, which has been solved by the proposed method by …

[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 …

[PDF][PDF] Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods

Ö Ali - Gazi University Journal of Science Part C: Design and …, 2024 - dergipark.org.tr
Epilepsy is a neurological disorder in which involuntary contractions, sensory abnormalities,
and changes occur as a result of abrupt and uncontrolled discharges in the neurons in the …

Recent trends in epileptic seizure detection using eeg signal: A review

VJ Thomas, D Anto Sahaya Dhas - Computational Vision and Bio-Inspired …, 2021 - Springer
Epilepsy is a neurological brain disorder. Seizures are the key characteristics of epilepsy.
Seizures occur in a community of neurons in certain parts of the cerebral cortex during which …

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 …