Survey of closed-loop automated oxygen control systems in neonatal intensive care units.

Acta Paediatr

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Published: May 2022


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303327PMC
http://dx.doi.org/10.1111/apa.16239DOI Listing

Publication Analysis

Top Keywords

survey closed-loop
4
closed-loop automated
4
automated oxygen
4
oxygen control
4
control systems
4
systems neonatal
4
neonatal intensive
4
intensive care
4
care units
4
survey
1

Similar Publications

Introduction Episodes of apnoea are common in extremely preterm infants and usually treated with caffeine and respiratory support. Understanding differences in apnoea definitions, monitoring practices, and use of respiratory stimulants is essential to improve future treatment. Methods Between March and July 2024, one lead consultant at European tertiary neonatal intensive care units (NICUs) was invited to complete to a web-based survey on respiratory practices in extremely preterm infants.

View Article and Find Full Text PDF

A Survey on Vehicle Trajectory Prediction Procedures for Intelligent Driving.

Sensors (Basel)

August 2025

State Key Laboratory of Intelligent Green Vehicle and Mobility, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.

Aimed at vehicle trajectory prediction procedures, this survey provides a comprehensive review for intelligent driving from both theoretical and practical perspectives. Vehicle trajectory prediction procedures are explained in terms of the perception layer, core technology of trajectory prediction, decision-making layer, and scenario application. In the perception layer, various sensors, visual-based perception devices, and multimodal fusion perception devices are enumerated.

View Article and Find Full Text PDF

Probabilistic Meal Detection and Estimation in Type 1 Diabetes With Extreme Shape Variability.

J Diabetes Sci Technol

August 2025

Howard P. Isermann Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.

Background: The study conceptualizes the application of particle filters for meal detection and shape estimation, aimed at assisting patients with type 1 diabetes (T1D) in meal announcements. It concentrates on leveraging continuous glucose monitoring (CGM) and insulin pump data to detect meals, which will eventually enhance prior research that relied on accelerometer data for event detection.

Method: The research employs glucose appearance rate (RA) curves derived from 21 triple-tracer studies.

View Article and Find Full Text PDF

Aims: Hybrid closed-loop (HCL) systems significantly improve glycaemia and have become the standard of care for type 1 diabetes (T1D), leading to the recent widescale implementation programme in England and Wales. Limited data exist regarding UK healthcare professionals' (HCPs) confidence and experience with commercially available HCL systems. This survey aimed to evaluate UK HCPs' awareness, confidence, and training needs concerning commercial HCL systems.

View Article and Find Full Text PDF

Objective: Sleep is critically important to children's well-being, and inadequate sleep duration significantly increases the risk for poor health outcomes. Insufficient sleep is a common finding in the pediatric population, specifically among individuals with type 1 diabetes. The aim of this study is to determine whether there are differences in sleep and glycemic outcomes between the summer and the school year among school-aged children with type 1 diabetes.

View Article and Find Full Text PDF