Latest AI and machine learning research in seizures for healthcare professionals.
BACKGROUND: Chronic inflammation can lower the seizure threshold and have influence on epileptogenes...
The objective of this study was to test statistical features from the electroencephalogram (EEG) rec...
OBJECTIVE: To accurately deliver a source-estimated neurofeedback (NF) signal developed on a 128-sen...
Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingl...
BACKGROUND: Automated seizure detection from clinical EEG data can reduce the diagnosis time and fac...
Mental workload assessment is essential for maintaining human health and preventing accidents. Most ...
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our unde...
Several models have been proposed to explain brain regional and interregional communication, the maj...
Artificial intelligence allows machines to predict human faculties such as image and voice recogniti...
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI)...
BACKGROUND AND OBJECTIVE: Computer Aided Diagnosis (CAD) techniques have widely been used in researc...
BACKGROUND: Epilepsy is a neurological disease characterized by unprovoked seizures in the brain. Th...
OBJECTIVES: Electroencephalography (EEG) is a central part of the medical evaluation for patients wi...
OBJECTIVE: Automatic detection of epileptic seizures based on deep learning methods received much at...
Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. Howeve...
Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their r...
Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial fre...
INTRODUCTION: Isoniazid-induced seizure, often described as Status Epilepticus (SE), is an emergency...
Reliable markers measuring disease progression in Huntington's disease (HD), before and after diseas...
The study of connectivity patterns of a system's variables, such as multi-channel electroencephalogr...
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer...