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

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.

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Publication Details

Journal
Biomedical Optics Express
Published
2024-12-04
DOI
https://doi.org/10.1364/boe.547794
Citations
1
Primary Topic
Hemodynamic Monitoring and Therapy
Type
article
Field-Weighted Citation Impact
0.57
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article

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

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1 citations
Biomedical Optics Express
Hemodynamic Monitoring and Therapy
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article

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

Vladimír Blažek, Markus Lueken, Steffen Leonhardt, Idoia Badiola, Jan Seleng, Štefan Borik, Diogo Silva
article en
1 citations

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.

Biomedical Optics ExpressVol. 16(2)
University of Žilina (SK), Czech Technical University in Prague (CZ), RWTH Aachen University (DE)
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Openalex Percentile: Top 27%
Hemodynamic Monitoring and Therapy
0.57
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