Model arterial pressure with Windkessel dynamics. Choose RC or RCR settings, then simulate beat cycles. Export time series results for reports and audits anytime.
| Scenario | Model | R (mmHg·s/mL) | C (mL/mmHg) | Zc (mmHg·s/mL) | HR (bpm) | SV (mL) | Expected trend |
|---|---|---|---|---|---|---|---|
| Baseline | 3-element | 1.20 | 1.60 | 0.04 | 75 | 70 | Balanced pulse pressure and realistic upstroke |
| Stiffer arteries | 3-element | 1.20 | 0.90 | 0.05 | 75 | 70 | Higher pulse pressure, faster systolic rise |
| Higher afterload | 2-element | 1.80 | 1.60 | 0.00 | 75 | 70 | Higher mean pressure and slower diastolic decay |
This calculator uses the Windkessel ordinary differential equation for the compliant compartment:
For the 3-element form, a characteristic impedance term adjusts the inlet pressure:
The Windkessel model approximates large-artery behavior using a small set of parameters that still reproduce key features of arterial pressure. It suits classroom demonstrations too. This calculator focuses on beat-to-beat wave shape and cycle averages.
The 2-element RC model captures mean pressure and exponential diastolic decay. In many adult simulations, a small impedance (for example 0.02–0.10 mmHg·s/mL) noticeably changes peak pressure without greatly changing mean pressure.
Resistance links pressure to outflow: higher R increases mean pressure for the same cardiac output. For a quick reference, values around 0.8–2.0 mmHg·s/mL are common in simplified adult parameter sets, but your application and units convention matter. In the model equation, the outflow term is (P − Pv)/R.
Compliance buffers pulsatility by storing blood volume during systole and releasing it during diastole. Lower C (stiffer arteries) typically raises pulse pressure and makes pressure fall faster between beats. Practical exploratory ranges are often 0.8–2.5 mL/mmHg.
The product τ sets the characteristic diastolic decay. For example, R = 1.20 and C = 1.60 yields τ = 1.92 s. Larger τ generally preserves diastolic pressure, while smaller τ produces a steeper fall. Typical simplified values often land between about 1–4 seconds.
Heart rate sets cycle period T = 60/HR, while systolic fraction defines systolic time Ts. The inflow waveform integrates to the chosen stroke volume, so comparisons across waveforms isolate shape effects. Half-sine inflow is smooth, triangular creates a linear rise/fall, and square inflow can exaggerate early pressure changes.
The solver uses an explicit time-marching scheme, so a smaller time step improves accuracy. A practical dt is 0.001–0.005 s for typical heart rates. Simulating 5–10 cycles helps the initial condition wash out; the exported series is the last beat, which is usually closest to periodic steady state.
The results panel reports systolic, diastolic, mean pressure, pulse pressure, and the RC time constant. The preview table shows a sparse sample of the last-beat time series, while CSV export provides every computed point for plotting. The PDF export is a compact text summary for records.
It adds characteristic impedance Zc, which increases early-systolic pressure in proportion to inflow. This better reproduces the sharp upstroke seen in proximal arteries while keeping the RC compartment for mean pressure and diastolic decay.
Outflow is (P − Pv)/R. With larger R, less flow leaves for the same pressure, so pressure must rise until outflow balances the average inflow over a cycle.
Increase C to add buffering, reduce SV, or reduce Zc (3-element). Also consider a smoother inflow waveform, which reduces abrupt flow changes that create sharp pressure peaks.
Pv sets the reference pressure for the resistor branch. Raising Pv lifts the whole pressure curve upward, especially diastolic levels, because the model discharges toward Pv between beats.
Use a smaller dt (for example 0.001–0.003 s) and simulate more cycles so the initial condition settles. Extremely large Zc with a square inflow can also create unrealistic sharp transitions.
Early cycles can reflect the initial pressure P0. By exporting the final beat after several warm-up cycles, the output is closer to a repeating periodic solution, which is more comparable across parameter changes.
No. This is a simplified educational model. Use it for learning, sensitivity studies, and research prototyping, then validate against measured waveforms and domain-appropriate models before drawing clinical conclusions.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.