Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Dec 9, 2025

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems.

Anuradha Singh¹, Saeed Ur Rehman^1,2, Sira Yongchareon³

¹Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.

Sensors (Basel, Switzerland)

|September 10, 2020

Summary

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

An Integrated IoT-Based Multi-Sensor Framework for Real-Time Indoor Environment and Safety Monitoring.

Sensors (Basel, Switzerland)·2026

Same author

Federated Learning and Data Mining-Based Botnet Attack Detection Framework for Internet of Things.

Sensors (Basel, Switzerland)·2026

Same author

AI-Driven Energy-Efficient Routing in IoT-Based Wireless Sensor Networks: A Comprehensive Review.

Sensors (Basel, Switzerland)·2025

Same author

A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults.

Sensors (Basel, Switzerland)·2025

Same author

Efficient Deep Learning-Based Device-Free Indoor Localization Using Passive Infrared Sensors.

Sensors (Basel, Switzerland)·2025

Same author

Facial Anti-Spoofing Using "Clue Maps".

Sensors (Basel, Switzerland)·2024

This study presents a mathematical model simulating chest wall motion from breathing and heartbeat. This model aids in developing radar-based non-contact vital sign (NCVS) systems, reducing the need for extensive human testing.

Area of Science:

Biomedical Engineering
Mathematical Modeling
Physiological Monitoring

Background:

Chest wall motion provides vital physiological data, including respiration and heartbeat.
Mathematical modeling offers a pathway to reduce human testing in biomedical applications.
Current methods for vital sign monitoring can be invasive or require direct contact.

Discussion:

A novel mathematical model is proposed to simulate chest wall motion driven by cardiorespiratory activity.
Respiration simulation is based on optimal chemical-mechanical respiratory control mechanics.
Cardiac activity simulation employs the theory of relaxation oscillation systems.

Key Insights:

The model accurately simulates chest wall motion from both respiratory and cardiac sources.

Keywords:

cardiac chest wall motion mathematical modelling respiration simulation

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

Related Experiment Videos

Last Updated: Dec 9, 2025

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

It integrates physiological control mechanisms with mechanical system dynamics.

This approach provides a robust simulation for cardiorespiratory dynamics.

Outlook:

The developed mathematical chest wall model can optimize radar-based non-contact vital sign (NCVS) systems.
It facilitates the design and parameter tuning of NCVS devices.
Future work may involve validation against experimental data and real-world clinical applications.