Latest AI and machine learning research in seizures for healthcare professionals.
BACKGROUND: Electroencephalography (EEG) has a long history as a clinical tool to study brain functi...
Multichannel electroencephalogram (EEG) is an array signal that represents brain neural networks and...
Epilepsy is a major neurological disorder characterized by recurrent, spontaneous seizures. For pati...
Brain-computer interface (BCI) is a technology that directly connects signals between the human brai...
Stroke is a severe medical condition which may lead to permanent disability conditions. The initial ...
Epilepsy claims the lives of many people, so researchers strive to build highly accurate diagnostic ...
Motor imagery (MI) represents one major paradigm of Brain-computer interfaces (BCIs) in which users ...
The human brain operates at multiple levels, from molecules to circuits, and understanding these com...
. Monitoring the depth of anaesthesia (DOA) during surgery is of critical importance. However, durin...
Auditory Attention Detection (AAD) aims to detect the target speaker from brain signals in a multi-s...
Electroencephalography (EEG) is a non-invasive method used to track human brain activity over time. ...
INTRODUCTION: 3D Printing (3DP) is an innovative fabrication technology that has gained enormous pop...
PURPOSE: The classification of sleep stages based on Electroencephalogram (EEG) changes has signific...
Electroencephalography (EEG) has demonstrated significant value in diagnosing brain diseases. In par...
Anthropomorphized robots are increasingly integrated into human social life, playing vital roles acr...
Affect recognition in a real-world, less constrained environment is the principal prerequisite of th...
Epilepsy is one of the most well-known neurological disorders globally, leading to individuals exper...
BACKGROUND: Objective and standardized evaluation of surgical skills in robot-assisted surgery (RAS)...
Stroke is a neurological condition that usually results in the loss of voluntary control of body mov...
Differential diagnosis of acute loss of consciousness (LOC) is crucial due to the need for different...
The surging popularity of virtual reality (VR) technology raises concerns about VR-induced motion si...