Latest AI and machine learning research in seizures for healthcare professionals.
Spinal cord stimulation (SCS) is a well-accepted therapy for refractory chronic pain. However, predi...
The analysis of cognitive patterns through brain signals offers critical insights into human cogniti...
The electrophysiological findings have shown that epileptiform spikes triggering sleep spindles with...
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom ...
Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evalua...
The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug develop...
Many traffic accidents occur nowadays as a result of drivers not paying enough attention or being vi...
INTRODUCTION: Localizing the epileptogenic zone (EZ) using Stereo EEG (SEEG) is often challenging th...
BACKGROUND: Motion sickness has been a key factor affecting user experience in Virtual Reality (VR) ...
AIMS: Artificial intelligence (AI) tools like ChatGPT hold promise for enhancing diagnostic accuracy...
Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism)....
The last decade has witnessed a notable surge in deep learning applications for electroencephalograp...
Low Back Pain (LBP) is the most prevalent musculoskeletal condition worldwide and a leading cause of...
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EE...
To develop and evaluate a novel, non-patient-specific epileptic seizure prediction system using grad...
The study introduces an innovative approach to efficient mental stress detection by combining electr...
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures ...
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet ...
High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due...
Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sam...
Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along wit...