Latest AI and machine learning research in seizures for healthcare professionals.
The traditional machine learning-based emotion recognition models have shown effective performance ...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
Tasks which require sustained attention over a lengthy period of time have been a focal point of cog...
. Single-trial electroencephalography (EEG) classification is of great importance in the rapid seria...
Seizures, the main symptom of epilepsy, are provoked due to a neurological disorder that underlies t...
In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to decode hand mov...
Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to improve Huma...
Stress appears as a response for a broad variety of physiological stimuli. It does vary among indivi...
OBJECTIVE: The burst suppression pattern in clinical electroencephalographic (EEG) recordings is an ...
Timely detection of seizures is crucial to implement optimal interventions, and may help reduce the ...
In epilepsy, patients suffer from seizures which cannot be controlled with medicines or surgical tre...
In this research, we develop an affective computing method based on machine learning for emotion rec...
Besides facial or gesture-based emotion recognition, Electroencephalogram (EEG) data have been drawi...
Based on the current research on EEG emotion recognition, there are some limitations, such as hand-e...
BACKGROUND AND PURPOSE: The purpose of the current study is to detect changes of graph-theory-based ...
Previous studies applying machine learning methods to psychosis have primarily been concerned with t...
Interictal epileptiform discharges (IEDs) are an important and widely accepted biomarker used in the...
OBJECTIVE: This study was undertaken to determine the dose-response relation between epileptiform ac...
To develop an efficient, embedded electroencephalogram (EEG) channel selection approach for deep neu...
The paper proposes a new method for deep learning and knowledge discovery in a brain-inspired Spikin...
Epilepsy diagnosis based on Interictal Epileptiform Discharges (IEDs) in scalp electroencephalograms...