Cargando…
An Epileptic EEG Detection Method Based on Data Augmentation and Lightweight Neural Network
Objective: Epilepsy, an enduring neurological disorder, afflicts approximately 65 million individuals globally, significantly impacting their physical and mental wellbeing. Traditional epilepsy detection methods are labor-intensive, leading to inefficiencies. Although deep learning techniques for br...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697289/ http://dx.doi.org/10.1109/JTEHM.2023.3308196 |
Ejemplares similares
-
A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data
Publicado: (2021) -
Model-Based Spike Detection of Epileptic EEG Data
por: Liu, Yung-Chun, et al.
Publicado: (2013) -
Automatic Modulation Classification Using Hybrid Data Augmentation and Lightweight Neural Network
por: Wang, Fan, et al.
Publicado: (2023) -
EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network
por: Yogarajan, G., et al.
Publicado: (2023) -
Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG
por: Sui, Linfeng, et al.
Publicado: (2021)