The need to rapidly, accurately and faithfully transmit brain wave activity via electroencephalogram when a specialist cannot ...
Abstract: Electroencephalography (EEG) data acquisition process in Brain-Computer Interfaces (BCIs) is inevitably affected by uncertainty which introduces variability in the data. This variability, ...
Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.
Abstract: The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the ...