Computational analysis of neonatal ventilator waveforms and loops.

ABSTRACT:

Background

Modern neonatal ventilators allow the downloading of their data with a high sampling rate. We wanted to develop an algorithm that automatically recognises and characterises ventilator inflations from ventilator pressure and flow data.

Methods

We downloaded airway pressure and flow data with 100 Hz sampling rate from Dräger Babylog VN500 ventilators ventilating critically ill infants. We developed an open source Python package, Ventiliser, that includes a rule-based algorithm to automatically discretise ventilator data into a sequence of flow and pressure states and to recognise ventilator inflations and an information gain approach to identify inflation phases (inspiration, expiration) and sub-phases (pressure rise, pressure plateau, inspiratory hold etc.).

Res

SUBMITTER: Chong D 

PROVIDER: S-EPMC7720788 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature