Latest AI and machine learning research in seizures for healthcare professionals.
Long-term depression and negative emotional cycles affect life quality and work productivity. Howeve...
In recent years, deep learning-based feature representation methods have shown a promising impact on...
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...
Emotion recognition based on brain signals has increasingly become attractive to evaluate human's in...
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...
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...
Data classification, the process of analyzing data and organizing it into categories or clusters, is...
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensabl...
Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With...
Autism spectrum disorder (ASD), a neurodevelopment disorder, is characterized by significant difficu...
Stress is a universal emotion that every human experiences daily. Psychologists say stress may lead ...
This paper presents a novel teleoperation system using Electroencephalogram (EEG) to control the mot...
Intracranially-recorded interictal high-frequency oscillations (HFOs) have been proposed as a promis...