Evidence map›Paper›PMID 32906804›Full record

ArticleSensors (Basel, Switzerland)2020

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

Anuradha Singh, Saeed Ur Rehman, Sira Yongchareon, Peter Han Joo Chong

Open access · goldAbstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 25 citations in OpenAlex.

  1. mCardiacDx: Radar-Driven Contactless Monitoring and Diagnosis of Atrial Fibrillation.IEEE journal of translational engineering in health and medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Laser spectroscopic method for remote sensing of respiratory rate.Physical and engineering sciences in medicine · 2023
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Anuradha SinghDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.ORCID 0000-0002-0315-3710
Saeed Ur RehmanDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.ORCID 0000-0002-2159-865X
Sira YongchareonDepartment of Information Technology and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand.
Peter Han Joo ChongDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.
Auckland University of Technology · NZFlinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model that simulates a chest wall motion due to cardiorespiratory activity. Chest wall motion due to respiration is simulated based on the optimal chemical-mechanical respiratory control-based mechanics. The theory of relaxation oscillation system is applied to model the motion due to cardiac activity. The proposed mathematical chest wall model can be utilized in designing and optimizing different design parameters for radar-based non-contact vital sign (NCVS) systems.

Indexed as

RadarThoracic WallHumansMonitoring, PhysiologicMotionRespirationThoraxVital Signscardiacchest wall motionmathematical modellingrespirationsimulation

Identifiers

PMID32906804
PMCPMC7570465
OpenAlexW3083132098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.