Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVE: Improving the identification of the epileptogenic zone and associated seizure-spreading r...
Supervised learning paradigms are often limited by the amount of labeled data that is available. Thi...
OBJECTIVES: Epilepsy surgery is underutilized. Automating the identification of potential surgical c...
OBJECTIVE: Automating detection of Interictal Epileptiform Discharges (IEDs) in electroencephalogram...
OBJECTIVE: The aim of this study was to evaluate the feasibility of machine learning based on diffus...
BACKGROUND: Assistive automatic seizure detection can empower human annotators to shorten patient mo...
Epilepsy is a neurological brain disorder that affects ∼75 million people worldwide. Predicting epil...
In this article, we study a tensor-based multitask learning (MTL) method for classification. Taking ...
PURPOSE: Focal epilepsy is a risk factor for language impairment in children. We investigated whethe...
The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing requirem...
BACKGROUND: In clinical practice, EEGs are assessed visually. For practical reasons, recordings ofte...
Patients with stroke can experience a drastic change in their body representation (BR), beyond the p...
Emotion recognition based on electroencephalograms has become an active research area. Yet, identify...
OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of drug-resistant focal epilepsy but ...
BACKGROUND: Measuring the quality of cardiopulmonary resuscitation (CPR) is important for improving ...
The novelty of this study consists of the exploration of multiple new approaches of data pre-process...
Analysis of electroencephalogram (EEG) is a crucial diagnostic criterion for many sleep disorders, o...
OBJECTIVE: A downside of Deep Brain Stimulation (DBS) for Parkinson's Disease (PD) is that cognitive...
Modern motor imagery (MI)-based brain computer interface systems often entail a large number of elec...
Emotion recognition has a wide range of potential applications in the real world. Among the emotion ...
In recent years, specific cortical networks have been proposed to be crucial for sustaining consciou...