Evidence map›Paper›PMID 36772318›Full record

ArticleSensors (Basel, Switzerland)2023

Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals.

Bernhard Laufer, Fabian Hoeflinger, Paul D Docherty, Nour Aldeen Jalal, Sabine Krueger-Ziolek, Stefan J Rupitsch, Leonhard Reindl, Knut Moeller

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Bernhard LauferInstitute of Technical Medicine (ITeM), Furtwangen University, 78054 Villingen-Schwenningen, Germany.ORCID 0000-0003-3059-8894
Fabian HoeflingerDepartment of Microsystems Engineering, University of Freiburg, 79085 Freiburg, Germany.ORCID 0000-0001-5877-1439
Paul D DochertyInstitute of Technical Medicine (ITeM), Furtwangen University, 78054 Villingen-Schwenningen, Germany.
Nour Aldeen JalalInstitute of Technical Medicine (ITeM), Furtwangen University, 78054 Villingen-Schwenningen, Germany.ORCID 0000-0003-0209-3389
Sabine Krueger-ZiolekInstitute of Technical Medicine (ITeM), Furtwangen University, 78054 Villingen-Schwenningen, Germany.
Stefan J RupitschDepartment of Microsystems Engineering, University of Freiburg, 79085 Freiburg, Germany.
Leonhard ReindlDepartment of Microsystems Engineering, University of Freiburg, 79085 Freiburg, Germany.ORCID 0000-0002-5068-8929
Knut MoellerInstitute of Technical Medicine (ITeM), Furtwangen University, 78054 Villingen-Schwenningen, Germany.ORCID 0000-0003-4709-3817

Funding

German Federal Ministry for Economic Affairs and Climate Action (BMWi) ZIM-Grant KK5151903BM1H2020 MSCA Rise #872488- DCPM
6 · The paper itself

Abstract

Measurement of accurate tidal volumes based on respiration-induced surface movements of the upper body would be valuable in clinical and sports monitoring applications, but most current methods lack the precision, ease of use, or cost effectiveness required for wide-scale uptake. In this paper, the theoretical ability of different sensors, such as inertial measurement units, strain gauges, or circumference measurement devices to determine tidal volumes were investigated, scrutinised and evaluated. Sixteen subjects performed different breathing patterns of different tidal volumes, while using a motion capture system to record surface motions and a spirometer as a reference to obtain tidal volumes. Subsequently, the motion-capture data were used to determine upper-body circumferences, tilt angles, distance changes, movements and accelerations-such data could potentially be measured using optical encoders, inertial measurement units, or strain gauges. From these parameters, the measurement range and correlation with the volume signal of the spirometer were determined. The highest correlations were found between the spirometer volume and upper body circumferences; surface deflection was also well correlated, while accelerations carried minor respiratory information. The ranges of thorax motion parameters measurable with common sensors and the values and correlations to respiratory volume are presented. This article thus provides a novel tool for sensor selection for a smart shirt analysis of respiration.

Indexed as

LungRespirationHumansMotionThoraxTidal Volumeinertial measurement unitsmovements upper bodyrespiratory parameterssmart clothingstrain gaugestidal volumewearables

Identifiers

PMID36772318
PMCPMC9920533

What OpenQuestion holds

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Registered trials

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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.