Detecting Slow Wave Sleep via One or Two Channels of EEG/EOG Signals

摘要:  Abstract—This work develops a number of automatic slow wave sleep (SWS) detection methods that employ only one or two channels EOG/EEG signals. In addition to the reduction signal channels, distinct feature proposed approach is introduction new set can make insensitive interpersonal differences physiological The tested subjects include 265 and 947 persons underwent full overnight polysomnography from different centers. With center as training 147 other validation set, first part our experiments yields SWS results Kappa coefficients 0.72-0.78, sensitivity 0.77-0.90 positive predictive value 0.73-0.82. Using subject dataset, second compares relative merits investigates impacts ratio severity apnea on performances methods. Finally, suggest quality great importance for development accurate