Evidence map›Paper›PMID 37330551›Full record

SynthesisBiomedical engineering online2023

Current methods for contactless optical patient diagnosis: a systematic review.

Belmin Alić, Tim Zauber, Christian Wiede, Karsten Seidl

Abstract readSystematic Review
In one paragraph

Synthesis in Biomedical engineering online, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Belmin AlićDepartment of Electrical Engineering and Information Technology, University of Duisburg-Essen, Bismarckstr. 81, 47057, Duisburg, Germany. belmin.alic@uni-due.de.
Tim ZauberDepartment of Electrical Engineering and Information Technology, University of Duisburg-Essen, Bismarckstr. 81, 47057, Duisburg, Germany.
Christian WiedeDepartment of Embedded Software and Embedded AI, Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057, Duisburg, Germany.
Karsten SeidlDepartment of Electrical Engineering and Information Technology, University of Duisburg-Essen, Bismarckstr. 81, 47057, Duisburg, Germany.

Funding

Deutsche Forschungsgemeinschaft 458611451
6 · The paper itself

Abstract

Many countries around the world face a shortage of medical personnel, leading to work overload or even burnout. This calls for political and scientific solutions to relieve the medical personnel. The measurement of vital signs in hospitals is still predominately carried out manually with traditional contact-based methods, taking over a substantial share of the medical personnel's workload. The introduction of contactless methods for vital sign monitoring (e.g., with a camera) has great potential to relieve the medical personnel. This systematic review's objective is to analyze the state of the art in the field of contactless optical patient diagnosis. This review distinguishes itself from already existing reviews by considering studies that do not only propose the contactless measurement of vital signs but also include an automatic diagnosis of the patient's condition. This means that the included studies incorporate the physician's reasoning and evaluation of vital signs into their algorithms, allowing an automated patient diagnosis. The literature screening of two independent reviewers resulted in a total of five eligible studies. The highest number of studies (three) introduce methods for the risk assessment of infectious diseases, one study introduces a method for the risk assessment of cardiovascular diseases, and one study introduces a method for the diagnosis of obstructive sleep apnea. Overall, high heterogeneity in relevant study parameters is reported among the included studies. The low number of included studies indicates a large research gap and emphasizes the demand for further research on this emerging topic.

Indexed as

Diagnostic Techniques and ProceduresTelemedicineAlgorithmsHumansRisk AssessmentVital SignsContactlessdiagnosisOpticalReviewVital signs

Identifiers

PMID37330551
PMCPMC10276455

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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.