“Ensemble Learning Outperforms Conventional Machine Learning in Classifying Sleep Stages Using Single-Channel EEG and ECG Signals”

https://pubmed.ncbi.nlm.nih.gov/38114690

The use of ensemble learning to classify sleep stages using single-channel EEG and ECG signals outperforms conventional machine learning classifiers, achieving high accuracy in multi-class classification.