Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection.
Y Wang, S Yuan, JX Liu, W Hu, Q Jia… - International Journal of …, 2024 - europepmc.org
Neonatal epilepsy is a common emergency phenomenon in neonatal intensive care units
(NICUs), which requires timely attention, early identification, and treatment. Traditional …
(NICUs), which requires timely attention, early identification, and treatment. Traditional …
CNN-Based Pattern Classifiers for Precise Identification of Perinatal EEG Biomarkers of Brain Injury in Preterm Neonates
Electroencephalographic (EEG) monitoring is important for the diagnosis of hypoxic-
ischemic (HI) brain injury in high-risk preterm infants. EEG monitoring is limited by the …
ischemic (HI) brain injury in high-risk preterm infants. EEG monitoring is limited by the …
LMA-EEGNet: A Lightweight Multi-Attention Network for Neonatal Seizure Detection Using EEG signals
W Zhou, W Zheng, Y Feng, X Li - Electronics, 2024 - mdpi.com
Neonatal epilepsy is an early postnatal brain disorder, and automatic seizure detection is
crucial for timely diagnosis and treatment to reduce potential brain damage. This work …
crucial for timely diagnosis and treatment to reduce potential brain damage. This work …
Neonatal Seizure detection using GLCM feature extraction & AlexNet classification
BM Jebin, MA Rejula, G Eberlein - Multimedia Tools and Applications, 2024 - Springer
Neonatal seizures result from a decreased supply of oxygen to the brain during the neonatal
period, leading to neurological disorders and abnormal neuronal activity …
period, leading to neurological disorders and abnormal neuronal activity …