Latest AI and machine learning research in seizures for healthcare professionals.
Epilepsy is a brain disorder disease that affects people's quality of life. Electroencephalography (...
OBJECTIVE: The aim of this study was to evaluate the feasibility of machine learning approach based ...
OBJECTIVE: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for a...
The ability to forecast seizures minutes to hours in advance of an event has been verified using inv...
OBJECTIVE: Seizure forecasting using machine learning is possible, but the performance is far from i...
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is p...
Robot-assisted stereoelectroencephalography (sEEG) is frequently employed to localize epileptogenic ...
OBJECTIVE: Deep learning provides an appealing solution for the ongoing challenge of automatically c...
Objective Dyslexia diagnosis is a challenging task, since traditional diagnosis methods are not base...
Brain responsiveness to stimulation fluctuates with rapidly shifting cortical excitability state, as...
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory ...
In recent years, the research on electroencephalography (EEG) has focused on the feature extraction ...
Functional connectivity and effective connectivity of the human brain, representing statistical depe...
Lamotrigine (LTG) is an antiepileptic drug used in the treatment of seizures, mood disorders, and c...
OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neur...
Deep learning (DL) networks are increasingly attracting attention across various fields, including e...
Machine learning approaches have been fruitfully applied to several neurophysiological signal classi...
Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing fatigue on...
Emotion recognition plays an important role in the field of human-computer interaction (HCI). Automa...
Cognitive workload is a crucial factor in tasks involving dynamic decision-making and other real-tim...
Many studies report predictions for cognitive function but there are few predictions in epileptic pa...