Latest AI and machine learning research in seizures for healthcare professionals.
. Brain-computer interface (BCI) technology is poised to play a prominent role in modern work enviro...
Steady-state visual evoked potential (SSVEP) is a key technique of electroencephalography (EEG)-base...
Machine learning (ML) is widely used in classification tasks aimed at detecting various cognitive st...
The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Ev...
When traditional EEG signals are collected based on the Nyquist theorem, long-time recordings of EEG...
INTRODUCTION: Epilepsy is a disease characterized by an excessive discharge in neurons generally pro...
The electroencephalogram (EEG) of the patient is used to identify their motor intention, which is th...
OBJECTIVE: In this study, we present a novel biomimetic deep learning network for epileptic spasms a...
OBJECTIVE: This longitudinal study investigated potential positive impact of CPAP treatment on brain...
Deep learning (DL)-based methods have been successfully employed as asynchronous classification algo...
In recent years, fatigue driving has become the main cause of traffic accidents, leading to increase...
In vitro systems that accurately model in vivo conditions in the gastrointestinal tract may aid the ...
OBJECTIVE: Interictal biomarkers of the epileptogenic zone (EZ) and their use in machine learning mo...
Electroencephalogram (EEG) has been widely utilized as a valuable assessment tool for diagnosing epi...
In this study, we have developed a novel method based on deep learning and brain effective connectiv...
Major Depression Disorder (MDD) is a common yet destructive mental disorder that affects millions of...
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns...
The current pace of development and applications of large language models (LLMs) is unprecedented an...
INTRODUCTION: A challenge when applying an artificial intelligence (AI) deep learning (DL) approach ...
The main purpose of this paper is to provide information on how to create a convolutional neural net...
This study presents a novel method to assess the learning effectiveness using Electroencephalography...