Sleep spindles detection
2 papers with code • 1 benchmarks • 2 datasets
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Most implemented papers
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling
We propose a generative model for single-channel EEG that incorporates the constraints experts actively enforce during visual scoring.
Advanced sleep spindle identification with neural networks
Our model's performance exceeds that of the state-of-the-art detector and of most experts in the MODA dataset.