Evidence map›Paper›PMID 28093314›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2017

Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases.

Guanghao Sun, Yosuke Nakayama, Sumiyakhand Dagdanpurev, Shigeto Abe, Hidekazu Nishimura, Tetsuo Kirimoto, Takemi Matsui

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. VitalSeer: The development of a contactless sensing technology based on a user-centric data-driven clinical approach.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2022
    Article
  7. Article
  8. Article
  9. An Overview of Thermal Infrared Imaging-Based Screenings during Pandemic Emergencies.International journal of environmental research and public health · 2021
    Review
  10. Bonuses and pitfalls of a paperless drive-through screening and COVID-19: A field report.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2021
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. The Use of Digital Health in the Detection and Management of COVID-19.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Guanghao SunGraduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan. Electronic address: Guanghao.Sun@uec.ac.jp.
Yosuke NakayamaGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Sumiyakhand DagdanpurevGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Shigeto AbeTakasaka Clinic, Fukushima, Japan.
Hidekazu NishimuraVirus Research Center, Sendai Medical Center, National Hospital Organization, Sendai, Japan.
Tetsuo KirimotoGraduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
Takemi MatsuiGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Tokyo Metropolitan University · JPUniversity of Electro-Communications · JPSendai Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfrared thermography (IRT) is used to screen febrile passengers at international airports, but it suffers from low sensitivity. This study explored the application of a combined visible and thermal image processing approach that uses a CMOS camera equipped with IRT to remotely sense multiple vital signs and screen patients with suspected infectious diseases.

methodsAn IRT system that produced visible and thermal images was used for image acquisition. The subjects' respiration rates were measured by monitoring temperature changes around the nasal areas on thermal images; facial skin temperatures were measured simultaneously. Facial blood circulation causes tiny color changes in visible facial images that enable the determination of the heart rate. A logistic regression discriminant function predicted the likelihood of infection within 10s, based on the measured vital signs. Sixteen patients with an influenza-like illness and 22 control subjects participated in a clinical test at a clinic in Fukushima, Japan.

resultsThe vital-sign-based IRT screening system had a sensitivity of 87.5% and a negative predictive value of 91.7%; these values are higher than those of conventional fever-based screening approaches.

conclusionsMultiple vital-sign-based screening efficiently detected patients with suspected infectious diseases. It offers a promising alternative to conventional fever-based screening.

Indexed as

Remote Sensing TechnologyThermographyAdultBody TemperatureCommunicable DiseasesFeasibility StudiesFemaleFeverHumansJapanMaleMass ScreeningNosePhotographySkin TemperatureFever screeningInfection controlMass screeningThermographyVital signs

Identifiers

PMID28093314
PMCPMC7110473
OpenAlexW2576460985

What OpenQuestion holds

Textmetadata
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.