Latest AI and machine learning research in seizures for healthcare professionals.
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...
Since the underlying mechanisms of neurorehabilitation are not fully understood, the prognosis of st...
The original stereoelectroencephalography frame-based implantation technique has been proven to be s...
Electroencephalography (EEG) is a widely used technique for the detection of epileptic seizures. It ...
BACKGROUND AND OBJECTIVES: Nowadays, an automated computer-aided diagnosis (CAD) is an approach that...
Sleep screening is an important tool for both healthcare and neuroscientific research. Automatic sle...
INTRODUCTION: Accurate sleep staging is an essential basis for sleep quality assessment and plays an...
Biological measurements are often contaminated with large amounts of non-stationary noise which requ...
Brain-computer interfaces (BCIs) have been widely employed to identify and estimate a user's intenti...
BACKGROUND: The electroencephalography (EEG) signal carries important information about the electric...
Virtual reality surgical simulators have facilitated surgical education by providing a safe training...
Seizure semiology is a well-established method to classify epileptic seizure types, but requires a s...
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of...
Since electroencephalogram (EEG) signals can truly reflect human emotional state, emotion recognitio...
The present study investigates the effectiveness of a deep learning neural network for non-invasivel...