CPAP Pressure and Flow Data from a Local Trial of 30 Adults at the University of Canterbury

health life sciences medicine

Description

A pressure and flow dataset for CPAP (continuous positive airway pressure) breathing obtained from 30 subjects for model-based identification of patient-specific lung mechanics using a specially designed sensor system comprising an array of differential pressure sensors (Sensirion AG SDP816-125PA) and gauge pressure sensors (NXP MPVZ4006GW7U). Relevant medical information was collected using a questionnaire, including: sex; age; weight; height; smoking history; and history of asthma. Subjects were tasked with breathing at five different rates (including passive) from very slow to very fast breathing, matched to an online pacing sound and video, at two different levels of CPAP (4 and 7 cmH2O) for between 50 and 180 seconds depending on rate. Each data set for a breathing rate comprises ~17 breaths, including rest periods between breathing rates and CPAP levels. Data with significant observed sensor error was removed during processing. A better-fitted mask would be expected to reduce error in fully capturing expiration by reducing leaks around the masks seal with the face. The sensors measure inspiration and expiration using separate unidirectional differential flow sensors, which are combined in post-processing to for complete breathing data.

Update Frequency

Not updated

License

Creative Commons Attribution-ShareAlike 4.0 International Public License

Documentation

https://doi.org/10.13026/xfae-vv63

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

CPAP Pressure and Flow Data from a Local Trial of 30 Adults at the University of Canterbury was accessed on DATE from https://registry.opendata.aws/cpap-data-canterbury.

Resources on AWS

  • Description
    https://doi.org/10.13026/xfae-vv63
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/cpap-data-canterbury/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/cpap-data-canterbury/

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