Table 1. Model optimization via genetic search algorithm (n = 9 runs).
| Model parameter | Mean (SD) | Units | Search Range |
|---|---|---|---|
| GNa | 90.76 (0.77) | mS/cm2 | 0–200 |
| GK | 6.623 (0.11) | mS/cm2 | 0–30 |
| GNa, wt | 0.645 (0.052) | mS/cm2 | 0–2 |
| GK, wt | 0.147 (0.022) | mS/cm2 | 0–1 |
| V1/2 for b∞ (IK,wt activation) | 16.29 (7.14) | mV | -20–40 |
| k for b∞ (IK,wt activation) | 34.80 (4.44) | mV | 10–40 |
| τb (IK,wt time constant) | 0.56 (0.04) | ms | 0.01–1.0 |
| σ (Bulk tissue conductivity) | 1.143 (0.014) | mS/cm | 0–2 |
| Root mean square error | 1.11 (0.211) | mV | |
| Absolute CV error | 0.068 (0.060) | cm/s | |
| Results using mean parameter estimates | Units | ||
| Root mean square error | 1.66 | mV | |
| Absolute CV error | 0.116 | cm/s | |
| Results using selected parameter estimates | Units | ||
| Root mean square error | 1.109 | mV | |
| Absolute CV error | 0.0001 | cm/s | |