Unknown

Dataset Information

Overnight Sleep Staging Using Chest-Worn Accelerometry.


ABSTRACT: Overnight sleep staging is an important part of the diagnosis of various sleep disorders. Polysomnography is the gold standard for sleep staging, but less-obtrusive sensing modalities are of emerging interest. Here, we developed and validated an algorithm to perform "proxy" sleep staging using cardiac and respiratory signals derived from a chest-worn accelerometer. We collected data in two sleep centers, using a chest-worn accelerometer in combination with full PSG. A total of 323 participants were analyzed, aged 13-83 years, with BMI 18-47 kg/m2. We derived cardiac and respiratory features from the accelerometer and then applied a previously developed method for automatic cardio-respiratory sleep staging. We compared the estimated sleep stages against those derived from PSG and

SUBMITTER: Schipper F 

PROVIDER: S-EPMC11398147 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature