Breath detection algorithms affect multiple-breath washout outcomes in pre-school and school age children.

ABSTRACT:

Background

Accurate breath detection is essential for the computation of outcomes in the multiple-breath washout (MBW) technique. This is particularly important in young children, where irregular breathing is common, and the designation of inspirations and expirations can be challenging.

Aim

To investigate differences between a commercial and a novel breath-detection algorithm and to characterize effects on MBW outcomes in children.

Methods

We replicated the signal processing and algorithms used in Spiroware software (v3.3.1, Eco Medics AG). We developed a novel breath detection algorithm (custom) and compared it to Spiroware using 2,455 nitrogen (N2) and 325 sulfur hexafluoride (SF6) trials collected in infants, children, and adolescents.

Results

In 83% of N2

SUBMITTER: Oestreich MA 

PROVIDER: S-EPMC9565421 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature