Cross-subject electroencephalogram (EEG) based seizure subtype classification is very important in precise epilepsy diagnostics. Deep learning is a promising solution, due to its ability to ...

EEG signal classification using Riemannian manifolds has shown great potential. However, the huge computational cost associated with Riemannian metrics poses challenges for applying Riemannian methods ...

Studies of the EEG patterns showed that a steeper spectral slope, associated with deeper sleep, was also associated with an "aha" moment.

In contrast, 55.5 percent of those who stayed awake and 63.6 of those who dropped into light, N1 sleep experienced a moment of insight. Studies of the EEG patterns showed that a steeper spectral slope ...