Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVE: We develop an electroencephalography (EEG)-based noninvasive brain-computer interface (BC...
OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epilept...
OBJECTIVE: We evaluated whether deep learning applied to whole-brain presurgical structural connecto...
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising m...
There is a growing interest in neuroscience in assessing the continuous, endogenous, and nonstationa...
Machine computer interfaces (MCI) are assistive technologies enabling paralyzed peoples to control a...
In this study, we employed a kernel support vector machine to predict epilepsy localization and late...
Feature extraction and classification is a vital part in motor imagery-based brain-computer interfac...
The study of electroencephalography (EEG) signals is not a new topic. However, the analysis of human...
Exploring brain networks is an essential step towards understanding functional organization of the b...
Electrical Stimulation (ES) is a neurostimulation technique that is used to localize language functi...
OBJECTIVE: The purpose of this study was to evaluate the utility of global semi-quantitative analysi...
PURPOSE: Quasi-stable electrical distribution in EEG called microstates could carry useful informati...
OBJECTIVE: Visual assessment of the EEG still outperforms current computer algorithms in detecting e...
This paper addresses a chaos kernel function for the relevance vector machine (RVM) in EEG signal cl...
Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizur...
The aim of this study was to develop methods for detecting the nonstationary periodic characteristic...
BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are common...
OBJECTIVE: Brain-computer interfaces (BCI) enable direct communication with a computer, using neural...
OBJECTIVE: An ability to map seizure-generating brain tissue, i.e. the seizure onset zone (SOZ), wit...
Electric activity of brain gets disturbed prior to epileptic seizure onset. Early prediction of an u...