Machine learning algorithms for epilepsy detection based on published EEG databases: A systematic review

A Miltiadous, KD Tzimourta, N Giannakeas… - IEEE …, 2022 - ieeexplore.ieee.org
Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets

P Handa, E Gupta, S Muskan, N Goel - Expert Systems, 2023 - Wiley Online Library
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …

A new algorithm for Largest Lyapunov Exponent determination for noisy chaotic signal studies with application to Electroencephalographic signals analysis for …

Z Brari, S Belghith - Chaos, Solitons & Fractals, 2022 - Elsevier
Electroencephalographic signals (EEG) are main examination of brain disease, because of
their simple portability and their important temporal resolution of milliseconds or less …

Epileptic seizure prediction using wavelet transform, fractal dimension, support vector machine, and EEG signals

AV Perez-Sanchez, M Valtierra-Rodriguez… - Fractals, 2022 - World Scientific
Epilepsy, a neurological disorder, affects millions of persons worldwide. It is distinguished by
causing recurrent seizures in patients, which can conduct to severe health problems …

A novel Machine Learning approach for epilepsy diagnosis using EEG signals based on Correlation Dimension

Z Brari, S Belghith - IFAC-PapersOnLine, 2021 - Elsevier
Epilepsy is a chronic brain disease, it causes seizures that damage patients' lives. The main
examination of epilepsy diagnosis is encephalography since its acquisition simplicity, low …

Clinical Sensitivity of Fractal Neurodynamics

E Olejarczyk, M Cukic, C Porcaro, F Zappasodi… - The Fractal Geometry of …, 2024 - Springer
Among the significant advances in the understanding of the organization of the neuronal
networks that coordinate the body and brain, their complex nature is increasingly important …

Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review

P Handa, Lavanya, N Goel, N Garg - Artificial Intelligence Review, 2024 - Springer
Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …

A review of automatic detection of epilepsy based on EEG signals

Q Ren, X Sun, X Fu, S Zhang, Y Yuan… - Journal of …, 2023 - iopscience.iop.org
Epilepsy is a common neurological disorder that occurs at all ages. Epilepsy not only brings
physical pain to patients, but also brings a huge burden to the lives of patients and their …

A Comprehensive Review on Epilepsy Diagnosis and Prognosis using Machine Learning and Deep Learning Approaches

OK Esha, N Haque, F Ahmed… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Epilepsy is an illness that affects the nervous system and may lead to abnormal behavior,
sensations, and even loss of consciousness in certain people. When someone is having a …

Diagnosis of epilepsy disease with MRI images analysis and EEG signal processing

G Shahraki, E Irankhah - Proceedings of the 2nd International Conference …, 2022 - Springer
Abstract Today, brain signals (EEG), CT Scans, and MRI images are the methods for
diagnosing Epilepsy disease, and methods such as surgery, medication, and electrode …