Classification of Waking, Sleep Onset and Deep Sleep by Single Measures

Abstract

Abstract. The study analyses electrophysiological signals (EEG, EOG, ECG and EMG) to select measures and scoring methods suitable for the detection of sleep stages from waking to deep sleep. 85 measures, selected from relevant spectral characteristics and measures inspired by dynamical systems theory are discussed. Some new characteristics proved to be more sensitive than the conventional scoring measures. Discriminant analysis done with Fisher quadratic classifier determined as the best measures power ratios in delta-alpha, theta-alpha, delta-sigma, delta-beta bands, relative power in delta band, fractal dimension, and coefficient of detrended fluctuation analysis.