A comparison of automated and manual sleep staging and respiratory event recognition in a portable sleep diagnostic device with in-lab sleep study.

ABSTRACT:

Study objectives

The objectives were to develop and validate an algorithm for editing WatchPAT scoring and assess the accuracy in an unselected clinical population as well as age and sex substrata.

Methods

Two hundred sixty-two participants were enrolled to undergo WatchPAT simultaneously with in-lab polysomnography (PSG) recordings for developing (n = 30), optimizing (n = 62), and validating (n = 170) an algorithm to review and edit respiratory events and sleep architecture of WatchPAT recordings, which was based on visual inspection of WatchPAT signals. Apnea-hypopnea index (AHI) and sleep indices were compared with PSG-derived and automated WatchPAT indices.

Results

Although estimation of total sleep time (TST) was comparable between automated and manual algorithm,

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7161441 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature