HPC Tier Module

Arterial Windkessel Hemodynamics

Resolve aortic pressure from a lumped Windkessel model with closed-form benchmarks - exact f64, in-browser.

See it run - a worked example, 100% in this browser tab

The problem

Cardiovascular-systems teaching and model exploration need a Windkessel solver that is reproducible and self-validating, not a black box whose pressure waveform cannot be checked against the physics it claims to follow.

The local-first solution

This plugin integrates the cited 2- and 4-element Windkessel ODEs in exact f64 RK4 and compares the result to two scheme-independent closed forms - the diastolic decay constant and the cycle-mean Ohm analog - entirely in your browser with no upload or API key.

What it does

RK4 integration of the WK2 (R-C) and WK4 (R-C-Zc-L) lumped arterial models
Half-sine systolic ejection forcing scaled exactly to the prescribed stroke volume
Fits the diastolic decay time constant tau and checks it equals R*C
Verifies the cycle-mean Ohm relation mean(P) = CO * R
Reduces exactly to WK3 and WK2 as Zc and L are varied
Reports a GeoNum conditioning signal with a Richardson residual fallback

Honest scope

Exact: the WK2/WK4 ODEs, the half-sine forcing, RK4 integration, and the two closed-form benchmarks (tau = R*C and cycle-mean = CO*R). It is a lumped 0-D model with no spatial information - no wave travel, reflection, taper, or location-specific waveforms - and the half-sine ejection is idealized; R, C, Zc, L, HR, SV are surfaced inputs with cited physiological defaults. It is a research and education tool, not a medical device, and not for clinical, diagnostic, or treatment decisions.

Authorities cited

Run the Windkessel solve

Compute the pressure trace and benchmark errors entirely in your browser - nothing uploaded to anyone's cloud. Save the run to Sandbox, attach it to a Worklog case, or share the parameter set through a Gate portal.

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