A Novel, Fast and Efficient Single-Sensor Automatic Sleep-Stage Classification Based on Complementary Cross-Frequency Coupling Estimates

Sleep as a basic human function is characterized by continuous alterations in brain, muscle, eye, heart and respiratory activity. These multi-dimensional alterations are monitored with appropriate equipment in a sleep laboratory and are measured during a full night of sleep. Typically, these polysomnographic recordings include the electroencephalogram (EEG), electro-oculogram (EOG), electromyogram (EMG) and electrocardiogram (ECG). Physiologically, sleep stages can be split into two types: rapid eye movement (REM sleep) and non-rapid eye movement (non-REM sleep) (Steriade and McCarley, 1990).

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