Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

System to obtain exercise respiratory flow waveforms

A T Johnson1, C R Dooly

  • 1Agricultural Engineering Department, University of Maryland, College Park 20742.

Computer Methods and Programs in Biomedicine
|February 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quantifying the Size and Duration of a Microburst-Producing Chorus Region on 5 December 2017.

Geophysical research letters·2022
Same author

Amalgam.

The Dental register·2021
Same author

Statistical Properties of Electron Curtain Precipitation Estimated With AeroCube-6.

Journal of geophysical research. Space physics·2021
Same author

Electron Microburst Size Distribution Derived With AeroCube-6.

Journal of geophysical research. Space physics·2020
Same author

The FIREBIRD-II CubeSat mission: Focused investigations of relativistic electron burst intensity, range, and dynamics.

The Review of scientific instruments·2020
Same author

Cabozantinib use in renal cell carcinoma.

Drugs of today (Barcelona, Spain : 1998)·2017
Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
See all related articles

This study presents an inexpensive and reliable microcomputer-based system for measuring key respiratory parameters. The system accurately captures respiratory flow rate, tidal volume, and other vital metrics for analysis.

Area of Science:

  • Biomedical Engineering
  • Respiratory Physiology

Background:

  • Accurate measurement of respiratory parameters is crucial for diagnosing and monitoring various medical conditions.
  • Existing systems can be expensive or complex, limiting accessibility.

Purpose of the Study:

  • To develop and describe an affordable and dependable system for quantifying respiratory function.
  • To enable automated data acquisition and analysis of respiratory waveforms and volumes.

Main Methods:

  • A microcomputer system integrated with an analog-to-digital converter board was utilized.
  • Custom software was developed for system calibration, data acquisition, and analysis.

Main Results:

  • The system successfully obtains respiratory flow rate waveforms, tidal volume, minute volume, respiration rate, inhalation time, and exhalation time.

Related Experiment Videos

  • Data acquisition can be automated at predetermined intervals.
  • Conclusions:

    • The described system offers a cost-effective and reliable solution for respiratory monitoring.
    • Its ease of use and automated capabilities make it suitable for various research and clinical applications.