Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio

	Resting state					Motion state
	Tide wave		Dicrotic wave			Tide wave		Dicrotic wave
	Min	Max	Min	Max	Mean T₁	Min	Max	Min	Max	Mean T₁
Tester 1	0.021	0.277	0.214	0.478	637	0.070	0.316	0.284	0.751	400
Tester 2	0.029	0.220	0.260	0.468	674	0.053	0.299	0.276	0.619	440
Tester 3	0.031	0.221	0.268	0.493	642	0.062	0.312	0.270	0.604	415
Tester 4	0.024	0.207	0.185	0.333	711	0.063	0.291	0.225	0.638	419
Tester 5	0.031	0.197	0.252	0.458	709	0.066	0.304	0.223	0.562	441
Tester 6	0.023	0.183	0.185	0.387	776	0.043	0.244	0.303	0.499	543
Tester 7	0.019	0.184	0.259	0.398	759	0.031	0.257	0.302	0.514	506

Table 2. Accuracy of feature point positioning in resting state (%)
View table
View in Article
Table 2. Accuracy of feature point positioning in resting state (%)
Feature points
TDDR
method
Ref. [5] method Ref. [6] method
b 100 100 100
c 100 100 100
d 98.28 51.65 89.82
e 97.25 52.13 92.59
f 98.14 73.60 92.18
g 99.19 74.58 94.29

Table 3. Accuracy of feature point positioning under motion (%)
View table
View in Article
Table 3. Accuracy of feature point positioning under motion (%)
Feature points
TDDR
method
Ref. [5] method Ref. [6] method
b 100 100 100
c 100 100 100
d 94.23 39.32 86.67
e 90.77 42.87 85.89
f 91.93 81.54 89.33
g 95.38 82.37 91.24

Tools

Get Citation

Copy Citation Text

Bao-cun FAN, Yan WANG, Chen-chen HUANG, Zi-yang GE, Ping JIN. Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio[J]. Acta Photonica Sinica, 2020, 49(12): 51

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites