NeuroscienceClinical NeurophysiologyPeer-reviewed
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.
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