Latest AI and machine learning research in seizures for healthcare professionals.
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The E...
Detection algorithms for electroencephalography (EEG) data, especially in the field of interictal ep...
This paper proposes two multimodal fusion methods between brain and peripheral signals for emotion r...
OBJECTIVE: The objective of this work is the development of an accurate seizure forecasting algorith...
Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiologic...
Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis o...
Researchers classify critical neural events during sleep called spindles that are related to memory ...
Traditionally, automatic sleep stage classification is quite a challenging task because of the diffi...
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision ...
This paper proposes a practical approach to addressing limitations posed by using of single-channel ...
The current opinion in epilepsy surgery is that successful surgery is about removing pathological co...
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. stati...
PURPOSE: Using a novel technique based on phase locking value (PLV), we investigated the potential f...
Monitoring effects of disease or therapeutic intervention on brain function is increasingly importan...
OBJECTIVE: In many decision support systems, some input features can be marginal or irrelevant to th...
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities ...
OBJECTIVE: In postanoxic coma, EEG patterns indicate the severity of encephalopathy and typically ev...
Brain electrical activity recordings by electroencephalography (EEG) are often contaminated with sig...
A new parametric approach is proposed for nonlinear and nonstationary system identification based on...
EEG is a standard non-invasive technique used in neural disease diagnostics and neurosciences. Frequ...
Developing effective and affordable biomarkers for dementias is critical given the difficulty to ach...