Evidence map›Paper›PMID 39170819›Full record

ArticleJournal of biomedical optics2024

Leveraging 3D convolutional neural network and 3D visible-near-infrared multimodal imaging for enhanced contactless oximetry.

Wang Liao, Chen Zhang, Belmin Alić, Alina Wildenauer, Sarah Dietz-Terjung, Jose Guillermo Ortiz Sucre, Sivagurunathan Sutharsan, Christoph Schöbel, Karsten Seidl, Gunther Notni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Wang LiaoIlmenau University of Technology, Department of Mechanical Engineering, Ilmenau, Germany.ORCID 0000-0002-1165-5171
Chen ZhangIlmenau University of Technology, Department of Mechanical Engineering, Ilmenau, Germany.ORCID 0000-0001-8942-4624
Belmin AlićUniversity of Duisburg-Essen, Chair of Electronic Components and Circuits, Duisburg, Germany.ORCID 0000-0002-2630-3945
Alina WildenauerUniversity Medicine Essen, Ruhrlandklinik, Chair of Sleep and Telemedicine, Essen, Germany.ORCID 0000-0001-5214-3431
Sarah Dietz-TerjungUniversity Medicine Essen, Ruhrlandklinik, Chair of Sleep and Telemedicine, Essen, Germany.ORCID 0000-0001-7907-6670
Jose Guillermo Ortiz SucreUniversity Medicine Essen, Ruhrlandklinik, Department of Pneumology, Essen, Germany.
Sivagurunathan SutharsanUniversity Medicine Essen, Ruhrlandklinik, Department of Pneumology, Essen, Germany.ORCID 0000-0003-4069-4900
Christoph SchöbelUniversity Medicine Essen, Ruhrlandklinik, Chair of Sleep and Telemedicine, Essen, Germany.ORCID 0000-0002-0443-2973
Karsten SeidlUniversity of Duisburg-Essen, Chair of Electronic Components and Circuits, Duisburg, Germany.ORCID 0000-0001-6197-5037
Gunther NotniIlmenau University of Technology, Department of Mechanical Engineering, Ilmenau, Germany.ORCID 0000-0001-7532-1560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Monitoring oxygen saturation ( Aim: We aim to develop and validate a contactless Approach: We propose an approach that utilizes a 3D VIS-NIR multimodal camera system to capture facial videos, in which Results: In a breath-holding experiment involving 23 healthy participants, we obtained multimodal video data with reference Conclusions: The proposed approach offers a promising alternative for non-contact oxygen saturation measurement with good sensitivity to desaturation, showing potential for applications in clinical settings.

Indexed as

Imaging, Three-DimensionalMultimodal ImagingNeural Networks, ComputerOximetryAdultFaceFemaleHumansMaleOxygenOxygen SaturationSpectroscopy, Near-InfraredYoung AdultOxygencontactless oximetrydeep learningmultimodal imagingoxygen saturation

Identifiers

PMID39170819
PMCPMC11338290

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.