Evidence map›Paper›PMID 34883780›Full record

SynthesisSensors (Basel, Switzerland)2021

Implementation of Thermal Camera for Non-Contact Physiological Measurement: A Systematic Review.

Martin Clinton Tosima Manullang, Yuan-Hsiang Lin, Sheng-Jie Lai, Nai-Kuan Chou

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  7. Review
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  9. Article
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  14. Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. The Role of Thermal Camera in the Assessment of Thyroid Eye Disease Activity.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
    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

4 authors.

Martin Clinton Tosima ManullangDepartment of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0002-7437-0851
Yuan-Hsiang LinDepartment of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0003-0630-7313
Sheng-Jie LaiDepartment of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Nai-Kuan ChouDepartment of Cardiovascular Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 109-2637-E-011-002-Ministry of Science and Technology, Taiwan MOST 110-2221-E-011-123-
6 · The paper itself

Abstract

Non-contact physiological measurements based on image sensors have developed rapidly in recent years. Among them, thermal cameras have the advantage of measuring temperature in the environment without light and have potential to develop physiological measurement applications. Various studies have used thermal camera to measure the physiological signals such as respiratory rate, heart rate, and body temperature. In this paper, we provided a general overview of the existing studies by examining the physiological signals of measurement, the used platforms, the thermal camera models and specifications, the use of camera fusion, the image and signal processing step (including the algorithms and tools used), and the performance evaluation. The advantages and challenges of thermal camera-based physiological measurement were also discussed. Several suggestions and prospects such as healthcare applications, machine learning, multi-parameter, and image fusion, have been proposed to improve the physiological measurement of thermal camera in the future.

Indexed as

Respiratory RateSignal Processing, Computer-AssistedAlgorithmsHeart RateMachine Learningcontactless sensorsnon-contactphysiological measurementthermal camera

Identifiers

PMID34883780
PMCPMC8659982

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.