Evidence map›Paper›PMID 37817827›Full record

ArticleIEEE journal of translational engineering in health and medicine2023

Breathing-Associated Facial Region Segmentation for Thermal Camera-Based Indirect Breathing Monitoring.

Junhwan Kwon, Oyun Kwon, Kyeong Taek Oh, Jeongmin Kim, Sun K Yoo

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Junhwan KwonDepartment of Medical EngineeringYonsei University College of Medicine Seoul 03722 South Korea.ORCID 0000-0002-6464-3895
Oyun KwonDepartment of Medical EngineeringYonsei University College of Medicine Seoul 03722 South Korea.ORCID 0000-0002-9092-2812
Kyeong Taek OhDepartment of Medical EngineeringYonsei University College of Medicine Seoul 03722 South Korea.ORCID 0000-0002-6857-0945
Jeongmin KimDepartment of Anesthesiology and Pain MedicineSeverance HospitalCollege of Medicine Seoul 03722 South Korea.ORCID 0000-0002-0468-8012
Sun K YooDepartment of Medical EngineeringYonsei University College of Medicine Seoul 03722 South Korea.ORCID 0000-0002-6032-4686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breathing can be measured in a non-contact method using a thermal camera. The objective of this study investigates non-contact breathing measurements using thermal cameras, which have previously been limited to measuring the nostril only from the front where it is clearly visible. The previous method is challenging to use for other angles and frontal views, where the nostril is not well-represented. In this paper, we defined a new region called the breathing-associated-facial-region (BAFR) that reflects the physiological characteristics of breathing, and extract breathing signals from views of 45 and 90 degrees, including the frontal view where the nostril is not clearly visible. Experiments were conducted on fifteen healthy subjects in different views, including frontal with and without nostril, 45-degree, and 90-degree views. A thermal camera (A655sc model, FLIR systems) was used for non-contact measurement, and biopac (MP150, Biopac-systems-Inc) was used as a chest breathing reference. The results showed that the proposed algorithm could extract stable breathing signals at various angles and views, achieving an average breathing cycle accuracy of 90.9% when applied compared to 65.6% without proposed algorithm. The average correlation value increases from 0.587 to 0.885. The proposed algorithm can be monitored in a variety of environments and extract the BAFR at diverse angles and views.

Indexed as

Biological PhenomenaRespirationAlgorithmsFaceHumansMonitoring, Physiologicand intensive care units with high infection risksBreathingincluding isolated wardsMarkov random field (Clinical Impact)The proposed algorithm shows the feasibility of non-contact breathing reliable monitoring that versatile and accurate than previous methods The proposed algorithm could be used to monitor breathing in various clinical environmentsnoncontactoperation roomsphysiological featuresthermal camera

Identifiers

PMID37817827
PMCPMC10561734

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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.