Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVE: This study aimed to enable the automatic detection of the hippocampus and diagnose mesial...
EEG source localization remains a challenging problem given the uncertain conductivity values of the...
. This study aims to design and implement the first deep learning (DL) model to classify subjects in...
Most studies on EEG-based biometry recognition report results based on signal databases, with a limi...
There has been a tremendous increase in the investigations of three-dimensional (3D) printing for bi...
In brain-computer interface (BCI) systems, motor imagery electroencephalography (MI-EEG) signals are...
In recent years, deep learning-based feature representation methods have shown a promising impact on...
Long-term depression and negative emotional cycles affect life quality and work productivity. Howeve...
Accurate early prediction of epileptic seizures can provide timely treatment for patients. Previous ...
BACKGROUND AND OBJECTIVE: Emotion classification tasks based on electroencephalography (EEG) are an ...
Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as hea...
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...
Emotion recognition based on brain signals has increasingly become attractive to evaluate human's in...
BACKGROUND AND OBJECTIVE: Evaluation of human cognitive workload (CW) helps improve the user experie...
Tinnitus is a hearing disorder that is characterized by the perception of sounds in the absence of a...
In recent years, deep learning has shown very competitive performance in seizure detection. However,...
The accurate identification of the human emotional status is crucial for an efficient human-robot in...
More recently, a number of studies show the interest of the use of the Riemannian geometry in EEG cl...
In the contemporary world, emotion detection of humans is procuring huge scope in extensive dimensio...
BACKGROUND: Incorporating the time-frequency localization properties of Gabor transform (GT), the co...
Achieving an efficient and reliable method is essential to interpret a user's brain wave and deliver...