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Peripheral Artery Disease (P.A.D.): Vascular Hemodynamic Simulation Using a Printed Circuit Board (PCB) Design
Claudiu N Lungu1, Aurelia Romila1, Aurel Nechita1
1Faculty of Medicine and Pharmacy, Medical and Pharmaceutical Research Center, Dunarea de Jos University, 8000080 Galati, Romania.
A low-cost printed circuit board (PCB) analog models arterial stenosis hemodynamics in real time. This electrical circuit provides a valuable, intuitive tool for studying vascular impedance changes caused by progressive narrowing.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Fluid Dynamics
Background:
- Arterial stenosis causes complex, nonlinear changes in vascular impedance.
- Real-time investigation is difficult with current benchtop or computational fluid dynamics (CFD) models.
Purpose of the Study:
- Develop a low-cost printed circuit board (PCB) analog.
- Reproduce hemodynamic effects of progressive arterial stenosis using R-L-C electrical components to map vascular mechanics.
Main Methods:
- Constructed a lumped-parameter electrical network where voltage represents pressure and current represents flow.
- Used a variable resistor to simulate focal stenosis, incrementally adjusted for progressive narrowing.
- Established physiological correspondence using established relationships between electrical components and vascular properties (e.g., R=8μl/πr⁴).
Main Results:
- The PCB analog showed a monotonic rise in output voltage and peak-to-peak voltage with increasing simulated stenosis.
- Observed a distinct inflection point beyond mid-range narrowing, consistent with theoretical pressure loss predictions.
- Qualitative trends matched 0D and CFD analyses, with minimal changes for mild stenosis (≤25%) and sharp increases for moderate to severe stenosis (≥50%).
Conclusions:
- The PCB analog effectively replicates arterial stenosis hemodynamic signatures in real time and at low cost.
- Offers a valuable tool for education and research, enabling rapid visualization of vascular behavior.
- Future work will refine calibration, quantify uncertainty, and validate against physiological measurements and CFD simulations.
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