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Updated: Jul 30, 2025

Conducting Respiratory Oscillometry in an Outpatient Setting

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Published on: April 8, 2022

Doppler radar remote sensing of respiratory function.

Mohammad Shadman Ishrak¹, Fulin Cai^2,3, Shekh Md Mahmudul Islam⁴

¹Department of Electrical and Computer Engineering, University of Hawaii at Manoa, Honolulu, HI, United States.

Frontiers in Physiology

|May 14, 2023

Summary

This summary is machine-generated.

Doppler radar can non-invasively monitor torso movements to assess cardiopulmonary function, including respiratory rate and depth. This technology shows potential for diagnosing conditions like sleep apnea and lung ventilation heterogeneity.

Keywords:

Doppler radar data driven models identity authentication machine Learning respiratory monitoring respiratory signature vital signs

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Area of Science:

Biomedical Engineering
Cardiopulmonary Physiology
Remote Sensing Technology

Background:

Cardiopulmonary function can be indirectly measured using Doppler radar to sense torso kinematics.
Body surface motion from cardiac and lung activity has been used to determine respiratory rate, depth, and identify individuals.
Doppler radar can differentiate respiratory motion from other body movements in sedentary subjects.

Purpose of the Study:

To explore the use of Doppler radar for remote sensing of torso kinematics to assess cardiopulmonary function.
To investigate the potential of analyzing spatial-temporal displacement patterns for indirect assessment of respiratory parameters.
To evaluate the distinct motion patterns in healthy individuals and their potential for diagnosing respiratory pathologies.

Main Methods:

Utilizing Doppler radar to track periodic torso motion associated with the respiratory cycle.
Developing mathematical models to combine spatial-temporal displacement patterns for indirect physiological assessments.
Analyzing variations in motion patterns during inhalation/exhalation cycles between individuals.

Main Results:

Doppler radar successfully tracked respiratory motion, distinguishing it from extraneous movements.
Indirect assessment of tidal volume and paradoxical breathing is achievable through spatial-temporal displacement patterns.
Distinct individual motion patterns were observed even in healthy respiratory function, varying with time and depth.

Conclusions:

Doppler radar remote sensing of torso kinematics is a viable method for assessing cardiopulmonary function.
The technology shows promise for non-invasively measuring respiratory parameters and identifying sleep apnea.
Analysis of individual biomechanical motion patterns may lead to novel diagnostics for lung ventilation heterogeneity and other respiratory conditions.