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Table 2 Performance of the proposed a wave detection algorithm on the testing dataset (APG signals measured at rest and after 2 hours of exercise)

From: Detection of a and b waves in the acceleration photoplethysmogram

	Before exercise						After 2 hours of exercise
Record	No of beats	TP	FP	FN	SE (%)	+P(%)	No of beats	TP	FP	FN	SE (%)	+P(%)
A1	26	26	0	0	100	100	43	41	0	2	95.34	100
A2	24	24	0	0	100	100	47	47	0	0	100	100
B1	17	17	0	0	100	100	44	43	0	1	97.72	100
B2	26	26	0	0	100	100	38	38	0	0	100	100
C2	20	20	0	0	100	100	37	37	0	0	100	100
C3	20	20	0	0	100	100	23	23	0	0	100	100
D2	22	22	0	0	100	100	39	39	0	0	100	100
D3	19	19	0	0	100	100	27	27	0	0	100	100
E1	22	22	0	0	100	100	30	30	0	0	100	100
E2	22	22	0	0	100	100	30	30	0	0	100	100
E3	19	19	0	0	100	100	38	38	0	0	100	100
G2	30	30	0	0	100	100	49	48	0	1	97.95	100
G3	19	19	0	0	100	100	42	41	0	1	97.61	100
H3	23	23	0	0	100	100	32	32	0	0	100	100
I1	22	22	0	0	100	100	35	35	0	0	100	100
I2	17	17	0	0	100	100	31	31	0	0	100	100
J2	23	23	0	0	100	100	41	41	0	0	100	100
L2	24	24	0	0	100	100	37	37	0	0	100	100
L3	24	24	0	0	100	100	39	39	0	0	100	100
N2	18	18	0	0	100	100	24	24	0	0	100	100
N3	20	20	0	0	100	100	31	31	0	0	100	100
O1	24	24	0	0	100	100	33	33	0	0	100	100
O2	17	17	0	0	100	100	34	34	0	0	100	100
P1	26	26	0	0	100	100	34	34	0	0	100	100
P2	20	20	0	0	100	100	34	34	0	0	100	100
Q1	22	22	0	0	100	100	28	28	0	0	100	100
Q2	18	18	0	0	100	100	36	36	0	0	100	100
27 volunteers	584	584	0	0	100	100	956	951	0	5	99.57	100

The PPG signals were collected from 27 subjects for 20 seconds during the 5 minutes break between each exercise [5]. To compare the performance of the proposed algorithm with the nine algorithms [5], two statistical measures were used: SE=TP/(TP+FN) and +P=TP/(TP+FP), where TP is the number of true positives (a wave detected as a wave), FN is the number of false negatives (a wave has not been detected), and FP is the number of false positives (non-a wave detected as a wave).

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ISSN: 1475-925X

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