Unobtrusive cot side sleep stage classification in preterm infants using ultra-wideband radar.

ABSTRACT:

Background

Sleep is an important driver of development in infants born preterm. However, continuous unobtrusive sleep monitoring of infants in the neonatal intensive care unit (NICU) is challenging.

Objective

To assess the feasibility of ultra-wideband (UWB) radar for sleep stage classification in preterm infants admitted to the NICU.

Methods

Active and quiet sleep were visually assessed using video recordings in 10 preterm infants (recorded between 29 and 34 weeks of postmenstrual age) admitted to the NICU. UWB radar recorded all infant's motions during the video recordings. From the baseband data measured with the UWB radar, a total of 48 features were calculated. All features were related to body and breathing movements. Six machine learning classifiers were compar

SUBMITTER: Arasteh E 

PROVIDER: S-EPMC12713870 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature