Table 3 Correlation coefficients for parameters estimated by the local optimization approach compared to estimates from more conventional methods. Hence, the correlations are found between \({C}_{\text{ao}}\) and \(\tilde{C}_{\text{ao}}\) for arterial compliance, while \(R_{\text{sys}}\) versus \(\tilde{R}_{\text{sys}}\) yield the correlation for peripheral resistance. The p-value and 95% confidence interval (95% CI) was obtained by a two-tailed t-test
Parameter | Model | Pressure | Correlation | p-value | 95% CI |
|---|---|---|---|---|---|
waveform | coefficient, r | ||||
\(R_{\text{sys}}\) | Closed-loop | Finger | 0.990 | \(p<1.0e-41\) | [0.98, 0.99] |
\(R_{\text{sys}}\) | Closed-loop | Carotid | 0.994 | \(p<1.0e-59\) | [0.99, 1.00] |
\(R_{\text{sys}}\) | Open-loop | Finger | 0.987 | \(p<1.0e-39\) | [0.98, 0.99] |
\(R_{\text{sys}}\) | Open-loop | Carotid | 0.988 | \(p<1.0e-50\) | [0.98, 0.99] |
\(C_{\text{ao}}\) | Closed-loop | Finger | 0.601 | \(p<1.0e-5\) | [0.39, 0.75] |
\(C_{\text{ao}}\) | Closed-loop | Carotid | 0.864 | \(p<1.0e-18\) | [0.78, 0.92] |
\(C_{\text{ao}}\) | Open-loop | Finger | 0.647 | \(p<1.0e-6\) | [0.45, 0.78] |
\(C_{\text{ao}}\) | Open-loop | Carotid | 0.852 | \(p<1.0e-17\) | [0.76, 0.91] |