[HTML][HTML] HCLA_CBiGRU: Hybrid convolutional bidirectional GRU based model for epileptic seizure detection
Seizure detection from EEG signals is crucial for diagnosing and treating neurological
disorders. However, accurately detecting seizures is challenging due to the complexity and …
disorders. However, accurately detecting seizures is challenging due to the complexity and …
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
Epilepsy is one of the most common neurological diseases globally, affecting around 50
million people worldwide. Fortunately, up to 70 percent of people with epilepsy could live …
million people worldwide. Fortunately, up to 70 percent of people with epilepsy could live …
Privacy-preserving multi-source semi-supervised domain adaptation for seizure prediction
Abstract Domain adaptation (DA) has been frequently used to solve the inter-patient
variability problem in EEG-based seizure prediction. However, existing DA methods require …
variability problem in EEG-based seizure prediction. However, existing DA methods require …