Multichannel synthetic preictal EEG signals to enhance the prediction of epileptic seizures
Epilepsy is a chronic neurological disorder affecting 1% of people worldwide, deep learning
(DL) algorithms-based electroencephalograph (EEG) analysis provides the possibility for …
(DL) algorithms-based electroencephalograph (EEG) analysis provides the possibility for …
[HTML][HTML] Seizure detection using dynamic memristor-based reservoir computing and leaky integrate-and-fire neuron for post-processing
Epilepsy is a prevalent neurological disorder, rendering the development of automated
seizure detection systems imperative. While complex machine learning models are …
seizure detection systems imperative. While complex machine learning models are …
[PDF][PDF] A Dual-Discriminator GAN for Sleep EEG Signal Synthesis
Y Fan, B Wang, T Zhang - Journal of Bioinformatics and …, 2024 - ascspublications.org
The interpretation of one's overnight sleep process based on EEG signal is of importance for
the inspection and treatment of various sleep-related disorders. The automatic sleep staging …
the inspection and treatment of various sleep-related disorders. The automatic sleep staging …