D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism

AA Khan, RK Madendran… - CAAI Transactions …, 2023 - Wiley Online Library
Epilepsy is considered as a serious brain disorder in which patients frequently experience
seizures. The seizures are defined as the unexpected electrical changes in brain neural …

Epileptic seizure detection based on bidirectional gated recurrent unit network

Y Zhang, S Yao, R Yang, X Liu, W Qiu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Visual inspection of long-term electroencephalography (EEG) is a tedious task for
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …

[HTML][HTML] A graph convolutional neural network for the automated detection of seizures in the neonatal EEG

K Raeisi, M Khazaei, P Croce, G Tamburro… - Computer methods and …, 2022 - Elsevier
Abstract Background and Objective Neonatal seizures are the most common clinical
presentation of neurological conditions and can have adverse effects on the …

LightSeizureNet: A lightweight deep learning model for real-time epileptic seizure detection

S Qiu, W Wang, H Jiao - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
The monitoring of epilepsy patients in non-hospital environment is highly desirable, where
ultra-low power wearable seizure detection devices are essential in such a system. The …

A modified aquila-based optimized XGBoost framework for detecting probable seizure status in neonates

KM Mumenin, P Biswas, MAM Khan, AS Alammary… - Sensors, 2023 - mdpi.com
Electroencephalography (EEG) is increasingly being used in pediatric neurology and
provides opportunities to diagnose various brain illnesses more accurately and precisely. It …

A comparative study on EEG features for neonatal seizure detection

S Abirami, J Thomas, R Yuvaraj… - … Based Computer-Aided …, 2022 - Springer
Epileptic seizure is one of the common neurological disorders, and its clinical manifestation
is different from that of the adult as the neonate's brain is not yet fully developed. In clinical …

Automatic detection of epileptic seizures in neonatal intensive care units through EEG, ECG and video recordings: a survey

B Olmi, L Frassineti, A Lanata, C Manfredi - IEEE Access, 2021 - ieeexplore.ieee.org
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of
utmost importance for a timely, effective and efficient clinical intervention. The continuous …

Ensemble learning using individual neonatal data for seizure detection

A Borovac, S Gudmundsson… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Objective: Sharing medical data between institutions is difficult in practice due to data
protection laws and official procedures within institutions. Therefore, most existing …

Convolutional transformer networks for epileptic seizure detection

N Ke, T Lin, Z Lin, XH Zhou, T Ji - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Epilepsy is a chronic neurological disease that affects many people in the world. Automatic
epileptic seizure detection based on electroencephalogram (EEG) signals is of great …

Acute symptomatic seizures in newborns: a narrative review

C Spagnoli, F Pisani - Acta Epileptologica, 2024 - Springer
Acute symptomatic seizures are the main sign of neurological dysfunction in newborns. This
is linked to the unique characteristics of the neonatal brain, making it hyperexcitable …