Automatic sleep stage classification using physiological signals acquired by Dreem headband
S. Bakian Dogaheh, M. H. Moradi
This paper proposes an XGBoost model for automatic sleep stage classification using Dreem headband signals, achieving 81.34% accuracy.
bioRxiv · Oct 5, 2023 · PreprintBioengineering