Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study.

ABSTRACT: Sleeping on the back after 28 weeks of pregnancy has recently been associated with giving birth to a small-for-gestational-age infant and late stillbirth, but whether a causal relationship exists is currently unknown and difficult to study prospectively. This study was conducted to build a computer vision model that can automatically detect sleeping position in pregnancy under real-world conditions. Real-world overnight video recordings were collected from an ongoing, Canada-wide, prospective, four-night, home sleep apnea study and controlled-setting video recordings were used from a previous study. Images were extracted from the videos and body positions were annotated. Five-fold cross validation was used to train, validate, and test a model using state-of-the-art deep convolutional neura

SUBMITTER: Kember AJ 

PROVIDER: S-EPMC11286875 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature