Research Article
Multiobjective Design of Wearable Sensor Systems for Electrocardiogram Monitoring
Table 5
Solution vectors after optimisation.
| | Maximum functionality | Regression model | | | | | | | |
| 1 | LMI | 13 | 2 | 124 | 0.5669 | — | 0.2000 | 0.1538 | 2 | LMII | 14 | 1 | 135 | — | 0.9995 | −0.5267 | −0.7358 | 3 | LMIII | 14 | 1 | 133 | 0.7998 | 0.9998 | −0.5891 | −0.7129 |
| 4 | NMI | 13 | 3 | 90 | 0.5125 | — | −1.0000 | −0.9631 | 5 | NMII | 12 | 3 | 100 | — | 0.9460 | −1.0000 | −0.9938 | 6 | NMIII | 13 | 2 | 65 | 0.6068 | 0.7052 | −1.0000 | −0.7862 |
| | Maximum wearability | Regression model | | | | | | | |
| 7 | LMI | 13 | 2 | 124 | 0.5669 | — | 0.2000 | 0.1538 | 8 | LMII | 11 | 4 | 135 | — | 1.0000 | −0.4777 | −0.7573 | 9 | LMIII | 14 | 1 | 134 | 4510 | 1.0000 | −0.5570 | −0.7288 |
| 10 | NMI | 13 | 3 | 89 | 0.5076 | — | −0.9986 | −1.0000 | 11 | NMII | 12 | 3 | 100 | — | 0.9461 | −0.9839 | −1.0000 | 12 | NMIII | 12 | 3 | 98 | 0.8294 | 0.9766 | −0.4224 | −1.0000 |
| | Trade-off | Regression model | | | | | | | |
| 13 | LMI | 11 | 1 | 0 | 0.4009 | — | 0.2000 | 0.1538 | 14 | LMII | 14 | 1 | 135 | — | 0.9995 | −0.5267 | −0.7358 | 15 | LMIII | 14 | 1 | 133 | 0.7998 | 0.9998 | −0.5891 | −0.7129 |
| 16 | NMI | 13 | 3 | 89 | 0.5076 | — | −0.9986 | −1.0000 | 17 | NMII | 12 | 3 | 100 | — | 0.9462 | −0.9984 | −0.9967 | 18 | NMIII | 13 | 3 | 98 | 0.8301 | 0.9761 | −0.9885 | −0.9889 |
|
|