Consistency of sleep restoration gain (SRG) as a measure for assessing sleep quality.
We propose a new sleep quality measure that assesses the sleep restorative gain of a polysomnography sleep record. In this preliminary investigation, we derive this new measure from manually scored sleep hypnograms. We compare the proposed measure to classical sleep indices such as TST, SE, and ArI, and demonstrate its self-consistency and degree of correlation with these measures. Using 47 sleep records from publicly available sleep databases, we graphically and quantitatively demonstrate the effectiveness of the proposed measure in summarizing the hypnogram of a sleep record.
Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Egypt. ibadreldin@ieee.org
Islam S
IS
Badreldin
Ahmed A
AA
Morsy
D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D017286:Polysomnography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012890:Sleep / Q000502:physiology*