Latest AI and machine learning research in seizures for healthcare professionals.
Brain computer interface (BCI) is a new communication way between man and machine. It identifies men...
OBJECTIVE: This paper describes a data-analytic modeling approach for the prediction of epileptic se...
The ability to predict seizures may enable patients with epilepsy to better manage their medications...
OBJECTIVE: To develop a real-time monitoring system that has the potential to guide the titration of...
Data-driven model-based analysis of electrophysiological data is an emerging technique for understan...
Support vector machines are powerful tools used to solve the small sample and nonlinear classificati...
The aim of this study was to validate a novel classification for the diagnosis of PNESs. Fifty-five ...
A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt-Jako...
The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial...
Brain dynamics at rest depend on the large-scale interactions between oscillating cortical microcirc...
Extreme learning machine (ELM) is an effective machine learning technique with simple theory and fas...
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogra...
Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration an...
This study reports the design and implementation of a pattern recognition algorithm to classify elec...
Automated seizure detection is a valuable asset to health professionals, which makes adequate treatm...
Erroneous behavior usually elicits a distinct pattern in neural waveforms. In particular, inspection...
Electroencephalography (EEG) headsets are the most commonly used sensing devices for brain-computer ...
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidi...
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac ail...
Although rehabilitation robotics seems to be a promising therapy in the rehabilitation of the upper ...
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based...