Latest AI and machine learning research in seizures for healthcare professionals.
The quality of electroencephalogram (EEG) signals directly impacts the performance of brain-computer...
OBJECTIVE: This study was undertaken to develop a machine learning (ML) model to forecast initial se...
Biological communication system for neurological disorder patients is similar to the Brain Computer ...
Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performanc...
In the field of brain-computer interfaces (BCIs), the potential for leveraging deep learning techniq...
This study developed an automated language learning teaching assessment system based on electroencep...
The perception and recognition of objects around us empower environmental interaction. Harnessing th...
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...
Recently, motor imagery (MI) electroencephalography (EEG) classification techniques using deep learn...
Timely detecting epileptic seizures can significantly reduce accidental injuries of epilepsy patient...
OBJECTIVE: To remove signal contamination in electroencephalogram (EEG) traces coming from ocular, m...
BACKGROUND: Mesial temporal sclerosis (MTS) is the most common pathology associated with drug-resist...
In recent times, Electroencephalography (EEG)-based motor imagery (MI) decoding has garnered signifi...
Epileptic seizure prediction plays a crucial role in enhancing the quality of life for individuals w...
BACKGROUND: Obtaining and describing semiology efficiently and classifying seizure types correctly a...
Analyzing electroencephalogram (EEG) signals to detect the epileptic seizure status of a subject pre...
Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...
UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, represen...
Infantile spasms are a severe epileptic syndrome characterized by short muscular contractions lastin...
Motor imagery refers to the brain's response during the mental simulation of physical activities, wh...
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...