Latest AI and machine learning research in seizures for healthcare professionals.
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision dur...
Deep learning methods have become an important tool for automatic sleep staging in recent years. How...
Robotic assistance has improved electrode implantation precision in stereoelectroencephalography (SE...
Since the discovery of the human electroencephalogram (EEG), neurophysiology techniques have become ...
Due to high computational requirements, deep-learning decoders for motor imaginary (MI) electroencep...
Detection and spatial distribution analyses of interictal epileptiform discharges (IEDs) are importa...
Deep learning is widely used to decode the electroencephalogram (EEG) signal. However, there are few...
The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in buil...
The progressive loss of motor function in the brain is a hallmark of Parkinson's disease (PD). Elect...
Emotion plays crucial roles in human life. Recently, emotion classification from electroencephalogra...
The monitoring of epilepsy patients in non-hospital environment is highly desirable, where ultra-low...
. Mind-wandering is a mental phenomenon where the internal thought process disengages from the exter...
For automatic EEG diagnosis, this paper presents a new EEG data set with well-organized clinical ann...
Day traders in the financial markets are under constant pressure to make rapid decisions and limit c...
Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain deat...
Confusion is the primary epistemic emotion in the learning process, influencing students' engagement...
. Automated artefact detection in the neonatal electroencephalogram (EEG) is crucial for reliable au...
With the phenomenal rise in internet-of-things devices, the use of electroencephalogram (EEG) based ...
BACKGROUND AND OBJECTIVE: Epilepsy is a brain disorder consisting of abnormal electrical discharges ...
Electroencephalogram (EEG) is a non-stationary random signal with strong background noise, which mak...
Electroencephalography (EEG) is often used to evaluate several types of neurological brain disorders...