Evidence map›Paper›PMID 39958860›Full record

ArticleBiomedical optics express2025

Low-cost camera-based assessment of venous hemodynamics in the lower limbs: a study on young healthy volunteers.

Idoia Badiola, Jan Seleng, Diogo Silva, Vladimir Blazek, Steffen Leonhardt, Markus Lueken, Stefan Borik

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2025. 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

7 authors.

Idoia BadiolaMedical Information Technology, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0003-2319-7013
Jan SelengDept. of Electromagnetic and Biomedical Engineering, University of Zilina, Zilina, Slovakia.
Diogo SilvaMedical Information Technology, RWTH Aachen University, Aachen, Germany.
Vladimir BlazekMedical Information Technology, RWTH Aachen University, Aachen, Germany.
Steffen LeonhardtMedical Information Technology, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0002-6898-6887
Markus LuekenMedical Information Technology, RWTH Aachen University, Aachen, Germany.
Stefan BorikMedical Information Technology, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0003-0765-8756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a non-contact and cost-effective method to assess venous hemodynamics along the lower limbs using photoplethysmography imaging (PPGI). Seventeen healthy volunteers performed the venous muscle pump test, inducing venous blood volume changes in their lower legs, which were recorded using a webcam. PPGI signals were extracted from three regions along the lower leg. Key parameters derived from a physiological model were evaluated and analyzed statistically: perfusion amplitude, ejection time constant, and peripheral venous flow index. The method demonstrated robust estimation of physiologically explainable parameters, and the potential to improve venous function diagnostics with high spatial resolution.

Identifiers

PMID39958860
PMCPMC11828450

What OpenQuestion holds

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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.