health life sciences medicine
A study was conducted to collect respiratory pressure and flow data for model-based assessment, alongside electrical impedance tomography (EIT) aeration, electrocardiogram (ECG), and heart-rate belt (HRB) data. A 20 subjects set was selected with no known significant respiratory abnormalities, under University of Canterbury Human Research Ethics Committee (HREC) consent (HREC 2023/30/LR-PS). Subject demographic data was collected using a combination of measurements and a self-reported questionnaire. Subject demographic information to ascertain: sex; height; weight; age; any history of asthma, smoking, or vaping; and approximate thoracic cage and breast tissue volumes. The trial was setup with subjects breathing through the pressure and flowmeter using a full-face mask and filter. Inspiratory and expiratory flow were separated using one-way valves for measurement purposes and both ports were rapidly occluded every 200ms to generate passive mechanics assessment intervals. A continuous positive airway pressure (CPAP) machine was used to provide positive airway pressure (PEEP) in series with the inspiratory port. Three trials were conducted per subject. Two of which, involved increasing PEEP (0, 4, and 8 cmH2O), and in one of which subjects were asked to perform two 10s breath holds at each level. The third was a recording of three forced expiratory manoeuvres (FEM). These tests were conducted to provide an initial comparison of current respiratory techniques to model-based methods, which aims to inform the design of future clinical testing on subjects with known respiratory abnormalities.
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Creative Commons Attribution 4.0 International Public License
https://doi.org/10.13026/e4dt-f689
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Respiratory and heart rate monitoring dataset from aeration study was accessed on DATE from https://registry.opendata.aws/respiratory-heartrate-dataset.
arn:aws:s3:::physionet-open/respiratory-heartrate-dataset/us-east-1aws s3 ls --no-sign-request s3://physionet-open/respiratory-heartrate-dataset/