Evidence map›Paper›PMID 39698477›Full record

ArticleIEEE journal of translational engineering in health and medicine2024

Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects.

Paul S Addison, Andre Antunes, Dean Montgomery, Ulf R Borg

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 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

4 authors.

Paul S AddisonAcute Care and Monitoring, Medtronic Edinburgh Scotland U.K.ORCID 0000-0002-6925-0935
Andre AntunesAcute Care and Monitoring, Medtronic Edinburgh Scotland U.K.ORCID 0000-0002-9428-8759
Dean MontgomeryAcute Care and Monitoring, Medtronic Edinburgh Scotland U.K.ORCID 0000-0001-5200-3439
Ulf R BorgAcute Care and Monitoring, Medtronic Boulder CO USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inhalation-exhalation (I:E) ratio, known to be an indicator of respiratory disease, is the ratio between the inhalation phase and exhalation phase of each breath. Here, we report on results from a non-contact monitoring method for the determination of the I:E ratio. This employs a depth sensing camera system that requires no sensors to be physically attached to the patient. A range of I:E ratios from 0.3 to 1.0 over a range of respiratory rates from 4 to 40 breaths/min were generated by healthy volunteers, producing a total of 3,882 separate breaths for analysis. Depth information was acquired using an Intel D415 RealSense camera placed at 1.1 m from the subjects' torso. This data was processed in real-time to extract depth changes within the subjects' torso region corresponding to respiratory activity. This was further converted into a respiratory signal from which the I:E ratio was determined (I:E[Formula: see text]). I:Edepth was compared to spirometer data (I:E[Formula: see text]). A Bland Altman analysis produced a mean bias of -0.004, with limits of agreement [-0.234, 0.227]. A linear regression analysis produced a line of best fit given by I:E[Formula: see text] I:Espiro - 0.006, with 95% confidence intervals for the slope [0.988, 1.019] and intercept [-0.017, 0.004]. We have demonstrated the viability of a non-contact monitoring method for determining the I:E ratio on healthy subjects breathing without mechanical support. This measure may be useful in monitoring the deterioration in respiratory status and/or response to therapy within the patient population. Clinical and Translational Impact Statement - The I:E ratio is an indicator of disease severity in COPD and asthma. Non-contact continuous monitoring of I:E ratio will offer the clinician a powerful new tool for respiratory monitoring.

Indexed as

ExhalationAdultFemaleHumansInhalationMaleMiddle AgedMonitoring, PhysiologicSignal Processing, Computer-AssistedYoung Adultdepth sensing cameraInhalation-exhalation rationon-contact monitoringrespiratory disease

Identifiers

PMID39698477
PMCPMC11655103

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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.