Evidence map›Paper›PMID 28621708›Full record

ArticleSensors (Basel, Switzerland)2017

Breathing Analysis Using Thermal and Depth Imaging Camera Video Records.

Aleš Procházka, Hana Charvátová, Oldřich Vyšata, Jakub Kopal, Jonathon Chambers

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

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  19. Evaluation of the breathing mode by infrared thermography.Brazilian journal of otorhinolaryngology
    Observational
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

5 authors at 4 institutions in 2 countries.

Aleš ProcházkaDepartment of Computing and Control Engineering, University of Chemistry and Technology in Prague, 166 28 Prague, Czech Republic. A.Prochazka@ieee.org.
Hana CharvátováFaculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic. hcharvatova@email.cz.
Oldřich VyšataDepartment of Computing and Control Engineering, University of Chemistry and Technology in Prague, 166 28 Prague, Czech Republic. Vysatao@gmail.com.
Jakub KopalDepartment of Computing and Control Engineering, University of Chemistry and Technology in Prague, 166 28 Prague, Czech Republic. Jakub.Kopal@vscht.cz.
Jonathon ChambersSchool of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK. Jonathon.Chambers@newcastle.ac.uk.
University of Chemistry and Technology, Prague · CZCharles University · CZNewcastle University · GBTomas Bata University in Zlín · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper is devoted to the study of facial region temperature changes using a simple thermal imaging camera and to the comparison of their time evolution with the pectoral area motion recorded by the MS Kinect depth sensor. The goal of this research is to propose the use of video records as alternative diagnostics of breathing disorders allowing their analysis in the home environment as well. The methods proposed include (i) specific image processing algorithms for detecting facial parts with periodic temperature changes; (ii) computational intelligence tools for analysing the associated videosequences; and (iii) digital filters and spectral estimation tools for processing the depth matrices. Machine learning applied to thermal imaging camera calibration allowed the recognition of its digital information with an accuracy close to 100% for the classification of individual temperature values. The proposed detection of breathing features was used for monitoring of physical activities by the home exercise bike. The results include a decrease of breathing temperature and its frequency after a load, with mean values -0.16 °C/min and -0.72 bpm respectively, for the given set of experiments. The proposed methods verify that thermal and depth cameras can be used as additional tools for multimodal detection of breathing patterns.

Indexed as

RespirationAlgorithmsArtificial IntelligenceImage Processing, Computer-AssistedMotionbreathing disorders detectiondepth sensorsfacial temperature distributionmachine learningmultimodal signalsthermography

Identifiers

PMID28621708
PMCPMC5491982
OpenAlexW2624958217

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.