Blood Pressure Classification Using the Method of the Modular Neural Networks

Table 3

Classification for MNN with train method (trainlm).

No. Persons	Number of Neurons	Time	Systolic	Diastolic	Pulse	Classification
Person1	14,15	00:06:48	118	70	68	Optimal
Person 2	14,15	00:06:48	109	77	76	Optimal
Person 3	14,15	00:06:48	112	76	79	Optimal
Person 4	14,15	00:06:48	120	73	73	Optimal
Person 5	14,15	00:06:48	146	86	77	Grade 1 Hypertension
Person 6	14,15	00:06:48	107	63	92	Optimal
Person 7	14,15	00:06:48	128	83	97	Normal
Person 8	14,15	00:06:48	112	66	96	Optimal
Person 9	14,15	00:06:48	130	76	73	Normal
Person 10	14,15	00:06:48	123	79	57	Normal
Person 11	14,15	00:06:48	138	65	65	High Normal
Person 12	14,15	00:06:48	138	84	74	High Normal
Person 13	14,15	00:06:48	123	76	79	Normal
Person 14	14,15	00:06:48	114	63	78	Optimal
Person 15	14,15	00:06:48	124	79	72	Normal
Person 16	14,15	00:06:48	134	84	89	High Normal
Person 17	14,15	00:06:48	125	77	80	Normal
Person 18	14,15	00:06:48	106	65	79	Optimal
Person 19	14,15	00:06:48	110	68	79	Optimal
Person 20	14,15	00:06:48	123	76	80	Normal
Person 21	14,15	00:06:48	115	72	76	Optimal
Person 22	14,15	00:06:48	112	73	78	Optimal
Person 23	14,15	00:06:48	122	76	77	Normal
Person 24	14,15	00:06:48	117	68	90	Optimal
Person 25	14,15	00:06:48	121	74	92	Optimal
Person 26	14,15	00:06:48	130	82	89	Normal
Person 27	14,15	00:06:48	121	63	86	Optimal
Person 28	14,15	00:06:48	112	73	90	Optimal
Person 29	14,15	00:06:48	123	82	80	Normal
Person 30	14,15	00:06:48	95	61	73	Optimal
Person 31	14,15	00:06:48	108	65	72	Optimal
Person 32	14,15	00:06:48	110	70	73	Optimal
Person 33	14,15	00:06:48	116	67	71	Normal
Person 34	14,15	00:06:48	130	86	80	Normal
Person 35	14,15	00:06:48	117	73	80	Optimal
Person 36	14,15	00:06:48	117	54	81	Optimal
Person 37	14,15	00:06:48	113	74	74	Optimal
Person 38	14,15	00:06:48	132	86	79	Normal
Person 39	14,15	00:06:48	128	80	78	Normal
Person 40	14,15	00:06:48	131	85	70	Normal