Estimating sleep time from non-EEG-based PSG signals in the diagnosis of sleep-disordered breathing

Purpose The purpose of this study was to use non-EEG PSG signals to estimate TST in order to diagnose SDB with a greater sensitivity than type 3 device methodology that relies on TRT. Methods Movement patterns were obtained from the thoracoabdominal signals of adult PSG recordings ( n = 60) in the laboratory and the home. Parameters obtained allowed, with 95% certainty, identification of sleep and wake based on the duration of movements and quiescent time (Qd). Snoring, apneas, and hypopneas indicated sleep with 100% certainty. The method was tested in a different set of PSG recordings ( n = 80). Results Subjects lay awake and immobile for longer in the laboratory (Qd LAB = 27.4 (12.1, 62.0), Qd HOME = 16.0 s (8.0, 36.0); p 173 s in the laboratory and >105 s at home. In both locations, 95% of movements during sleep were