Latest AI and machine learning research in seizures for healthcare professionals.
Accurate classification of Electroencephalogram (EEG) signals plays an important role in diagnoses o...
This paper describes the analysis of a deep neural network for the classification of epileptic EEG s...
Brain-computer interface (BCI) is a system empowering humans to communicate with or control the outs...
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit he...
BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous app...
Understanding sleep and its perturbation by environment, mutation, or medication remains a central p...
OBJECTIVE: This paper introduces a fully automated, subject-specific deep-learning convolutional neu...
Deep learning has been successfully used in numerous applications because of its outstanding perform...
BACKGROUND: Electroencephalography (EEG) monitors brain activity during sleep and is used to identif...
BACKGROUND: Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have ...
OBJECTIVE: Routinely collected healthcare data are a powerful research resource but often lack detai...
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major dep...
Electroencephalogram (EEG) has been widely used in emotion recognition due to its high temporal reso...
Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests o...
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hy...
In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimens...
Artificial intelligence algorithms have been used in a wide range of applications in clinical aided ...
OBJECTIVE: Major depression disorder (MDD) is one of the most prevalent mental disorders worldwide. ...
Practical motor imagery electroencephalogram (EEG) data-based applications are limited by the waste ...
To better understand human brain dynamics during visually guided locomotion, we developed a method o...
Brain-computer interfaces (BCI) harnessing steady state visual evoked potentials (SSVEPs) manipulate...