Latest AI and machine learning research in seizures for healthcare professionals.
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing...
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG),...
The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. ...
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-comp...
Decoding signals from the CNS brain activity is done by a computer-based communication device called...
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking...
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG...
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, per...
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges...
This paper presents a Brain Computing Interface (BCI) system utilizing Electroencephalography (EEG) ...
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiologic...
OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. ...
BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observ...
Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with h...
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EE...
OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical ...
γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...
Accurate localization of the epileptogenic zone (EZ) is crucial for epilepsy surgery, but the class ...
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain act...
In recent years, cross-frequency coupling (CFC) has emerged as a valuable tool in the study of a wid...
The prediction of epileptic seizures heavily depends on the precise embedding and classification of ...