Latest AI and machine learning research in seizures for healthcare professionals.
This study aims to compare brain activity differences under the motor imagery-brain-computer interfa...
. Electroencephalography (EEG) is widely recognized as an effective method for detecting fatigue. Ho...
Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recogn...
Thanks to advancements in artificial intelligence and brain-computer interface (BCI) research, there...
Electroencephalography (EEG) plays a crucial role in the diagnosis of various neurological disorders...
Electroencephalography (EEG) decoding is challenging because of its temporal variability and low sig...
Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest...
Classical approaches to diagnosis frequently rely on self-reported symptoms or clinician observation...
This work presents the development of on-chip machine learning (ML) classifiers for implantable neur...
Neonatal seizures are a common medical emergency, necessitating prompt treatment. The most common et...
In recent years, artificial intelligence (AI) has become an increasingly prominent focus of medical ...
Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that c...
Epilepsy, as a prevalent neurological disorder, is characterized by its high incidence, sudden onset...
Artificial intelligence (AI) is progressively transforming all fields of medicine, promising substan...
Driver drowsiness is a significant safety concern, contributing to numerous traffic accidents. To ad...
Decoding the human brain using non-invasive methods is a significant challenge. This study aims to e...
Decoding Electroencephalography (EEG) signals are extremely useful for advancing and understanding h...
. Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epil...
This study introduces a thoughtfully curated dataset comprising electroencephalogram (EEG) recording...
Freely moving thought is a type of thinking that shifts from one topic to another without any overar...
In the field of clinical neurology, automated detection of epileptic seizures based on electroenceph...