Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection

Table 24

Performance chart of the best algorithms for the entire epoching process.

Info				Performance evaluation criteria
ES	BP	FN	Model	MAPE	MAD	SE	MSE	RMSE
2	SBP	11	EBT	2.58	3.37	5.05	25.48	5.05	0.97	0.93
	DBP	11	EBT	3.31	2.43	4.06	16.52	4.06	0.97	0.93
4	SBP	11	EBT	2.34	3.09	4.86	23.62	4.86	0.97	0.94
	DBP	11	EBT	3.17	2.24	3.85	14.82	3.85	0.97	0.94
6	SBP	11	EBT	2.27	3.00	4.83	23.31	4.83	0.97	0.94
	DBP	11	EBT	3.14	2.15	3.79	14.34	3.79	0.97	0.94
8	SBP	11	GPR	2.20	2.91	4.50	20.28	4.50	0.97	0.95
	DBP	11	EBT	3.11	2.04	3.63	13.19	3.63	0.97	0.95
10	SBP	11	EBT	2.08	2.75	4.37	19.11	4.37	0.97	0.95
	DBP	11	EBT	2.69	1.96	3.42	11.67	3.42	0.97	0.95
12	SBP	11	GPR	2.04	2.73	4.39	19.25	4.39	0.98	0.95
	DBP	11	GPR	2.88	1.99	3.49	12.18	3.49	0.97	0.95
14	SBP	11	GPR	2.00	2.68	4.38	19.19	4.38	0.98	0.95
	DBP	11	EBT	3.28	1.87	3.64	13.25	3.64	0.98	0.95
16	SBP	11	GPR	1.92	2.56	4.09	16.66	4.08	0.98	0.96
	DBP	11	GPR	2.44	1.83	3.11	9.64	3.10	0.98	0.95
18	SBP	11	GPR	1.97	2.63	4.38	19.18	4.38	0.97	0.95
	DBP	11	EBT	2.49	1.83	3.24	10.45	3.23	0.97	0.95
20	SBP	11	GPR	1.96	2.62	4.13	16.98	4.12	0.98	0.96
	DBP	11	EBT	2.37	1.75	3.17	10.04	3.17	0.97	0.95

ES: epoch second; FN: number of feature; BP: blood pressure; SBP: systolic blood pressure; DBP: diastolic blood pressure; EBT: ensemble bagged tree; GPR: Gaussian process regression.