electrooculography
PulseAugur coverage of electrooculography — every cluster mentioning electrooculography across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New RAMamba-Net fuses EEG and EOG for improved auditory attention decoding
Researchers have developed RAMamba-Net, a novel network designed for auditory attention decoding (AAD) using multimodal fusion. This network integrates electroencephalography (EEG) and electrooculography (EOG) signals t…
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Review explores uncertainty quantification for machine learning in biosignal analysis
A recent review paper explores the application of Uncertainty Quantification (UQ) in machine learning models designed for biosignal analysis. The research highlights UQ's potential to enhance the interpretability and ro…
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Omni-Sleep foundation model uses hierarchical learning for advanced sleep analysis
Researchers have developed Omni-Sleep, a novel foundation model for sleep analysis that leverages hierarchical contrastive learning. This model incorporates the physiological organization of the central nervous system (…
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NAPS model fuses heterogeneous physiological signals using attention for sleep staging
Researchers have developed NAPS, a novel neural module designed to fuse heterogeneous physiological signals for more robust machine learning representations. This module employs a tri-axial attention mechanism and dimen…
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BandRouteNet neural network offers adaptive EEG artifact removal
Researchers have developed BandRouteNet, a novel neural network designed to remove artifacts from electroencephalography (EEG) signals. This adaptive, frequency-aware model processes EEG data in specific frequency bands…