Epilepsy is a neurological disorder (the third most common, following stroke and migraines).
A key aspect of its diagnosis is the presence of seizures that occur without a known cause …

Epilepsy is a neurological disease that affects around 50 million people of all ages
worldwide. In this study, five deep learning networks were compared to determine the best …

The third most common neurological disorder, only behind stroke and migraines, is
Epilepsy. The main criteria for its diagnosis are the occurrence of unprovoked seizures and …

An EEG seizure detection algorithm employed in a clinical setting is likely to encounter many
EEG segments that are difficult to classify due to the complexity of EEG signals and small …

Tonic-clonic seizures (TCSs) pose a significant risk for sudden unexpected death in epilepsy
(SUDEP). Previous research has highlighted the potential of multimodal wearable seizure …

Detecting emotions is a growing field aiming to comprehend and interpret human emotions
from various data sources, including text, voice, and physiological signals …

Automated epileptic seizure detection from ectroencephalogram (EEG) signals has attracted
significant attention in the recent health informatics field. The serious brain condition known …

The rapid development of wearable biomedical systems now enables real-time monitoring
of electroencephalography (EEG) signals. Acquisition of these signals relies on electrodes …

In healthcare applications, there is a growing need to develop machine learning models that
use data from a single source, such as that from a wrist wearable device, to monitor physical …

EEG-based seizure detection models face challenges in terms of inference speed and
memory efficiency, limiting their real-time implementation in clinical devices. This paper …