Latest AI and machine learning research in seizures for healthcare professionals.
Microsleeps are brief and involuntary instances of complete loss of sleep-related consciousness. We ...
This study presents a novel, deep, fully convolutional architecture which is optimized for the task ...
When we comprehend language, we often do this in rich settings where we can use many cues to underst...
OBJECTIVE: Considering the importance and the near-future development of noninvasive brain-machine i...
Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disor...
Electroencephalogram (EEG) signals are of complex structure and can be naturally represented as matr...
OBJECTIVE: In brain-computer interfaces (BCI), measurements of the user's brain activity are classif...
Portable automatic seizure detection system is very convenient for epilepsy patients to carry. In or...
The reliability of normal gel-based electrode electroencephalogram (EEG) for measuring pain has been...
BACKGROUND: Epilepsy is a common chronic neurological disorder of the brain. Clinically, epileptic s...
During the preclinical research period of drug development, animal testing is widely used to help s...
OBJECTIVE: Biological and non-biological artifacts cause severe problems when dealing with electroen...
This paper presents a pattern recognition model using multiple features and the kernel extreme learn...
We report in this paper an investigation of convolutional neural network (CNN) models for target pre...
OBJECTIVE During the last 3 decades, robotic technology has rapidly spread across several surgical f...
BACKGROUND: Epilepsy is a chronic disease with transient brain dysfunction that results from the sud...
BACKGROUND AND OBJECTIVE: Epilepsy is one of the most common neurological disorders caused by recurr...
The automatic classification of epileptic electroencephalogram(EEG)is significant in the diagnosis a...
Spikes in Lamotrigine concentrations levels and associated clinical toxicity may occur unpredictably...
Brain-computer interface (BCI) systems provide an alternative communication and control approach for...
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons ...