A Novel, Fast and Efficient Single-Sensor Automatic Sleep-Stage Classification Based on Complementary Cross-Frequency Coupling Estimates
Stavros I. Dimitriadis, Christos I. Salis, David E.J. Linden
This paper introduces a single-sensor automatic sleep-stage classification method using cross-frequency coupling estimates, achieving high accuracy and outperforming previous studies.
Clinical Neurophysiology · Jan 31, 2018Peer-reviewedNeuroscience