Latest AI and machine learning research in seizures for healthcare professionals.
Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) ...
Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been de...
We evaluated whether integration of expert guidance on seizure onset zone (SOZ) identification from ...
BACKGROUND: Individuals in the early stages of Alzheimer's Disease (AD) are typically diagnosed with...
For depression diagnosis, traditional methods such as interviews and clinical scales have been widel...
Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder. The symptoms of this c...
OBJECTIVE: Individuals with temporal lobe epilepsy (TLE) frequently demonstrate impairments in execu...
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage b...
INTRODUCTION: The main objective of this study is to evaluate working memory and determine EEG bioma...
This article aims to improve and diversify signal processing techniques to execute a brain-computer ...
Sleep spindles (SSs) and K-complexes (KCs) are brain patterns involved in cognitive functions that a...
The neurodevelopmental disorder, Attention Deficit Hyperactivity Disorder (ADHD), frequently affecti...
This has become a significant study area in recent years because of its use in brain-machine interac...
Epilepsy is a chronic disease of the brain characterized by seizures. The currently available antico...
Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in und...
Because of the intricate topological structure and connection of the human brain, extracting deep sp...
Estimating cognitive workload levels is an emerging research topic in the cognitive neuroscience dom...
PURPOSE: Multiple Sclerosis (MS) is a neuro-inflammatory disease of the Central Nervous System (CNS)...
OBJECTIVE: Despite recent advances, the decoding of auditory attention from brain signals remains a ...
Conversation analysis (CA) to identify metaphoric language (ML) has been proposed as a tool for the ...
BACKGROUND: Upper limb dysfunction after stroke seriously affects quality of life. Bilateral trainin...