Latest AI and machine learning research in seizures for healthcare professionals.
Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery...
At present, only professional doctors can use the professional scales to diagnose depression and anx...
Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...
The phase-amplitude coupling in EEG signal of different frequencies is considered as a useful biomar...
Epilepsy diagnosis through visual examination of interictal epileptiform discharges (IEDs) in scalp ...
Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neona...
Electro- and magneto-encephalography are functional neuroimaging modalities characterised by their a...
BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to...
OBJECTIVE: Despite numerous imaging studies highlighting the importance of the thalamus in a patient...
Electroencephalography is the recording of brain electrical activities that can be used to diagnose ...
BACKGROUND: The insula is a deep cortical structure that has renewed interest in epilepsy investigat...
In recent years, Brain Computer Interface (BCI) based on motor imagery has been widely used in the f...
Stroke is the second cause of mortality and the third cause of long-term disability worldwide. Defic...
IMPORTANCE: Interictal epileptiform discharges (IEDs) in electroencephalograms (EEGs) are a biomarke...
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of ...
BACKGROUND: A neurological disorder is one of the significant problems of the nervous system that af...
We sort human emotions using Russell's circumplex model of emotion by classifying electroencephalogr...
Pattern recognition algorithms decode emotional brain states by using functional connectivity measur...
Machine learning is a promising approach for electroencephalographic (EEG) trials classification. It...
The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and...
We are here to present a new method for the classification of epileptic seizures from electroencepha...