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