Latest AI and machine learning research in seizures for healthcare professionals.
The Brain Computer Interface (BCI) is the communication between the human brain and the computer. El...
Epilepsy is one of the most common neurological diseases, and video EEG is the most commonly used ex...
Motor kinematics decoding (MKD) using brain signal is essential to develop Brain-computer interface ...
Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural ...
The brain's response to visual stimuli of different colors might be used in a brain-computer interfa...
Classifying mental stress is important as it helps in identifying the type and severity of stress, w...
Epilepsy is a common brain disorder characterized by recurrent, unprovoked seizures which affects ov...
Synthetic data generation has become increasingly popular with the increasing use of generative netw...
Depression is a common mental disorder that negatively affects physical health and personal, social ...
In Human-Robot Collaboration setting a robot may be controlled by a user directly or through a Brain...
Considerable evidence highlights the dorsolateral prefrontal cortex (DLPFC) as a key region for hier...
Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. ...
BACKGROUND: Non-invasive Brain-Computer Interface (BCI) uses an electroencephalogram (EEG) to obtain...
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, wh...
Aiming at the problem that the unbalanced distribution of data in sleep electroencephalogram(EEG) si...
BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical...
We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in ...
Recurrent processing is a crucial feature in human visual processing supporting perceptual grouping,...
IMPORTANCE: Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-err...
In this study, the Multivariate Empirical Mode Decomposition (MEMD) is applied to multichannel EEG t...
Alzheimer's Disease (AD) is the most common form of dementia. Mild Cognitive Impairment (MCI) is the...