Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure
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 press...
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Elsevier
2024-02-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009460 |
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author | Jaimey A. Clifton Ella F.S. Guy Trudy Caljé-van der Klei Jennifer L. Knopp J. Geoffrey Chase |
author_facet | Jaimey A. Clifton Ella F.S. Guy Trudy Caljé-van der Klei Jennifer L. Knopp J. Geoffrey Chase |
author_sort | Jaimey A. Clifton |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-08T03:30:17Z |
format | Article |
id | doaj.art-5ddcad56f28b4a6a834ed994fc57b58c |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-03-08T03:30:17Z |
publishDate | 2024-02-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-5ddcad56f28b4a6a834ed994fc57b58c2024-02-11T05:10:30ZengElsevierData in Brief2352-34092024-02-0152109903Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressureJaimey A. Clifton0Ella F.S. Guy1Trudy Caljé-van der Klei2Jennifer L. Knopp3J. Geoffrey Chase4Corresponding author.; Department of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandThe 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.http://www.sciencedirect.com/science/article/pii/S2352340923009460COPDPressureFlowPulmonary mechanicsSpirometryObstructive respiratory disease |
spellingShingle | Jaimey A. Clifton Ella F.S. Guy Trudy Caljé-van der Klei Jennifer L. Knopp J. Geoffrey Chase Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure Data in Brief COPD Pressure Flow Pulmonary mechanics Spirometry Obstructive respiratory disease |
title | Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure |
title_full | Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure |
title_fullStr | Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure |
title_full_unstemmed | Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure |
title_short | Simulated obstructive respiratory disease dataset over increasing positive end-expiratory pressure |
title_sort | simulated obstructive respiratory disease dataset over increasing positive end expiratory pressure |
topic | COPD Pressure Flow Pulmonary mechanics Spirometry Obstructive respiratory disease |
url | http://www.sciencedirect.com/science/article/pii/S2352340923009460 |
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