Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning

Table 1

All the testing accuracy of different CWTs and segments to predict classification of blood pressure.

Accuracy (%)	100 (0.8 s)	150 (1.2 s)	200 (1.6 s)	250 (2.0 s)	300 (2.4 s)	350 (2.8 s)	400 (3.2 s)	450 (3.6 s)	500 (4.0 s)
No CWT	77	70	79	81	70	74	68	68	75
fbsp1-15-1	70	73	72	78	71	68	72	70	81
shan15-1	77	84	78	81	77	77	75	65	76
cgau1	73	84	81	87	90	85	77	70	78
morl	75	74	79	84	68	72	75	68	82
mexh	82	80	81	86	81	73	78	69	77
gaus1	78	79	82	86	85	82	74	69	77