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 …

Seizure detection algorithm based on improved functional brain network structure feature extraction

L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …

Survey on Epileptic Seizure Detection on Varied Machine Learning Algorithms

N Fatma, P Singh, MK Siddiqui - International Journal of Image and …, 2023 - World Scientific
Epilepsy is an unavoidable major persistent and critical neurological disorder that influences
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …

Epileptical seizure detection: Performance analysis of gamma band in EEG signal using short-time Fourier transform

M Sameer, AK Gupta, C Chakraborty… - … on wireless personal …, 2019 - ieeexplore.ieee.org
The EEG signal consist various frequency bands, which represents human activities like
emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to …

Studying multi-frequency multilayer brain network via deep learning for EEG-based epilepsy detection

W Dang, D Lv, L Rui, Z Liu, G Chen… - IEEE sensors journal, 2021 - ieeexplore.ieee.org
Epilepsy makes the patients suffer great pain and has a very bad impact on daily life. In this
paper, a novel method is proposed to implement electroencephalogram (EEG)-based …

An automated epileptic seizure detection using optimized neural network from EEG signals

MM Chanu, NH Singh, K Thongam - Expert Systems, 2023 - Wiley Online Library
Among the central nervous system (neurological) disorders, epilepsy is considered to be a
dangerous and chronic disorder that causes recurring seizures, showing unusual behaviour …

Optimizing non-uniform multivariate embedding for multiscale entropy analysis of complex systems

H Gu, CA Chou - Biomedical Signal Processing and Control, 2022 - Elsevier
Multivariate signals are ubiquitous in various complex systems. There has been substantial
interest in measuring the complexity of them to describe the target system. Traditional …

Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform

SR Ashokkumar, G MohanBabu - Journal of Intelligent & …, 2020 - content.iospress.com
Epilepsy is a nervous disorder that causes arbitrary recurrent seizures within the cerebral
cortex region of the encephalon. The early diagnosis of a seizure is important in clinical …

Characteristic analysis of epileptic brain network based on attention mechanism

HS Yu, XF Meng - Scientific Reports, 2023 - nature.com
Constructing an efficient and accurate epilepsy detection system is an urgent research task.
In this paper, we developed an EEG-based multi-frequency multilayer brain network …

Sensing and monitoring of epileptical seizure under IoT platform

AK Gupta, C Chakraborty, B Gupta - Smart medical data sensing and …, 2020 - igi-global.com
Epilepsy is a disorder that affects the life of the patient. In this neurological disorder, patients
may suffer from different types of seizures. From epileptic patients, we may acquire …