BIOENGINEER

Dual-Branch Deep Learning Network Advances Motor Imagery Brain-Computer Interface Decoding

A novel dual-branch neural network called EEG-DBNet simultaneously decodes temporal dynamics and spectral representations to ...
BIOENGINEER

Deep learning reads EEG spectrograms to sort seizure types

A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with ...
EurekAlert!

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
2 Minute Medicine

Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography

Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography ...
Medical Xpress

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...