Sleep Stages from Wake to Deep Sleep: Classification Ability of Single Measures.

摘要

The objective of this study is to analyze electrophysiological signals (EEG, EOG, ECG and EMG) to select measures and scoring methods suitable for the study of sleep onset. Relevant spectral methods and methods 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, fractal dimension, relative power in delta band, and coefficient of detrended fluctuation analysis.