Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure

Jaimey A Clifton; Ella F S Guy; Trudy Caljé-van der Klei; Jennifer L Knopp; J Geoffrey Chase

doi:10.1016/j.dib.2023.109903

Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure

Data Brief. 2023 Dec 2:52:109903. doi: 10.1016/j.dib.2023.109903. eCollection 2024 Feb.

Authors

Jaimey A Clifton¹, Ella F S Guy¹, Trudy Caljé-van der Klei¹, Jennifer L Knopp¹, J Geoffrey Chase¹

Affiliation

¹ Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Abstract

The breathing dataset presented is collected from 20 healthy individuals at the University of Canterbury using a device to simulate the pressure and flow profiles of obstructive pulmonary disease. Specifically, the expiratory non-linear resistance, which generates the characteristic expiratory pressure-flow loop lobe seen in obstructive disease. Ethical consent for the trial was granted by the University of Canterbury Human Research Ethics Committee (Ref: HREC 2022/26/LR). Data was collected using an open-source data collection device connected to a Fisher and Paykel Healthcare SleepStyle SPSCAA CPAP. The trial was conducted at CPAP PEEP levels of 4 and 8 cmH₂O, as well as at ZEEP (0 cmH₂O) with no CPAP attached. The simulation device was a modular device connected to the expiratory pathway, consisting of a free volume diversion and fixed high resistance outlet. Three simulation levels were selected for testing, achieved by changing the size of the elastic free volume. The intended use of this dataset is for the initial validation and development of respiratory pulmonary mechanics models, using data collected from healthy people with simulated disease prior to clinical testing.

Keywords: COPD; Flow; Obstructive respiratory disease; Pressure; Pulmonary mechanics; Spirometry.