Latest AI and machine learning research in seizures for healthcare professionals.
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...
Patients with stroke can experience a drastic change in their body representation (BR), beyond the p...
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...
Universal primary education is critical for individual academic growth and overall adult productivit...
Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels f...
INTRODUCTION: This study was designed to develop and evaluate machine learning algorithms for predic...
In the context of motor imagery, electroencephalography (EEG) data vary from subject to subject such...