Quantitative analysis of the effect of contact pressure on the reflection characteristics of radial pressure wave_Journal of Biomedical Engineering

Authors：

TAN Junyi ¹ ,  XU Lisheng ^1,2 , SUN Hongming ¹ , XU Bowen ¹ , LI Yongchun ³ , YAO Yudong ¹

1. College of MBIE, Northeastern University, Shenyang 110819, P. R. China;
2. Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang 110167, P. R. China;
3. Shenyang Kangtai Electronic Technology, Co. Ltd., Shenyang 110167, P. R. China;

Corresponding author：

XU Lisheng, Email: xuls@bmie.neu.edu.cn

Keywords：

Radial artery; Wave reflection; Waveform decomposition; Correlation analysis; Regression analysis

DOI：

10.7507/1001-5515.202203048

Video：

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The radial artery pulse wave contains a wealth of physiological and pathological information about the human body, and non-invasive studies of the radial artery pulse wave can assess arterial vascular elasticity in different age groups.The piezoelectric pulse wave transducers were used to non-invasively acquire radial artery pulse waves at different contact pressures in young and middle-aged and elderly populations. The radial artery waveforms were decomposed using a triangular blood flow model fitting method to obtain forward and reflected waves and calculate reflection parameters. Finally a correlation analysis and regression analysis of the contact pressure P_sensor with the reflection parameters was carried out. The results showed that the reflection parameters RM, RI and R_d had a strong negative correlation with P_sensor in both types of subjects, and the correlation coefficients and slopes of the regression curves were significantly different between the two types of subjects (P<0.05). Based on the results of this study, excessive contact pressure on the transducer should be avoided when detecting radial artery reflection waves in clinical practice. The results also show that the magnitude of the slope of the regression curve between the reflection parameters and the transducer contact pressure may be a potentially useful indicator for quantifying the elastic properties of the vessel.

Citation： TAN Junyi, XU Lisheng, SUN Hongming, XU Bowen, LI Yongchun, YAO Yudong. Quantitative analysis of the effect of contact pressure on the reflection characteristics of radial pressure wave. Journal of Biomedical Engineering, 2022, 39(6): 1127-1132. doi: 10.7507/1001-5515.202203048 Copy

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8.	Millasseau S C, Patel S J, Redwood S R, et al. Pressure wave reflection assessed from the peripheral pulse is a transfer function necessary? Hypertension, 2003, 41(5): 1016-1020.
9.	Haider A W, Larson M G, Franklin S S, et al. Systolic blood pressure, diastolic blood pressure, and pulse pressure as predictors of risk for congestive heart failure in the Framingham heart study. Ann Intern Med, 2003, 138(1): 10-16.
10.	Wang K L, Cheng H M, Sung S H, et al. Wave reflection and arterial stiffness in the prediction of 15-year all-cause and cardiovascular mortalities: a community-based study. Hypertension, 2010, 55(3): 799-805.
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15.	Jo G, Yang T H, Kim J U, et al. Development of a mathematical model for age-dependent radial artery pulse wave analysis based on pulse waveform decomposition. IEEE Access, 2019, 8: 2963-2974.
16.	Gbaoui L, Kaniusas E. Arterial pulse wave decomposition by independent component analysis// 2009 IEEE International Workshop on Medical Measurements and Applications. Cetraro: IEEE, 2009: 111-115.
17.	Liu C, Zheng D, Murray A, et al. Modeling carotid and radial artery pulse pressure waveforms by curve fitting with Gaussian functions. Biomed Signal Proces, 2013, 8(5): 449-454.
18.	Xu L, Feng S, Yue Z, et al. Multi-gaussian fitting for digital volume pulse using weighted least squares method//2011 IEEE International Conference on Information and Automation. Shenzhen: IEEE, 2011: 544-549.
19.	Wang L, Xu L, Zhao D, et al. FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian–cosine fitting. Comput Biol Med, 2015, 59: 142-151.
20.	Laxminarayan S, Sipkema P, Westerhof N. Characterization of the arterial system in the time domain. IEEE Trans Biomed Eng, 1978, 25(2): 177-184.
21.	Berger D S, Li J K, Laskey W K, et al. Repeated reflection of waves in the systemic arterial system. Am J Physiol, 1993, 264(33): 269-281.
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23.	Papaioannou T G, Karatzis E N, Papamichael C M, et al. Circadian variation of arterial pressure wave reflections. Am J Hypertens, 2006, 19(3): 259-263.
24.	朱耀斌, 李志强, 丁楠, 等. 脉搏传感器应用的研究进展. 中华实用诊断与治疗杂志, 2019, 33(3): 306-309.
25.	Westerhof N, Sipkema P, Bos G C V D, et al. Forward and backward waves in the arterial system. Cardiovasc Res, 1972, 6(6): 648-656.
26.	Laxminarayan S. The calculation of forward and backward waves in the arterial system. Med Biol Eng Comput, 1979, 17(1): 130.
27.	Westerhof B E, Guelen I, Westerhof N, et al. Quantification of wave reflection in the human aorta from pressure alone a proof of principle. Hypertension, 2006, 48(4): 595-601.
28.	Qasem A, Avolio A. Determination of aortic pulse wave velocity from waveform decomposition of the central aortic pressure pulse. Hypertension, 2008, 51(2): 188-195.
29.	Dujardin J, Stone D N. Characteristic impedance of the proximal aorta determined in the time and frequency domain: a comparison. Med Biol Eng Comput, 1981, 19(5): 565-568.
30.	Lekakis J P, Ikonomidis I, Protogerou A D, et al. Arterial wave reflection is associated with severity of extracoronary atherosclerosis in patients with coronary artery disease. Eur J Cardiovasc Prev Rehabil, 2006, 13(2): 236-242.
31.	Takahashi T, Tomiyama H, Aboyans V, et al. Association of pulse wave velocity and pressure wave reflection with the ankle-brachial pressure index in Japanese men not suffering from peripheral artery disease. Atheroscler, 2020, 317(1): 29-35.
32.	徐礼胜, 宋代远, 刘文彦, 等. 用不同外周动脉波形重建主动脉波形的对比研究. 东北大学学报: 自然科学版, 2020, 41(2): 188-192.

1. Sibley R C, Reis S P, Macfarlane J J, et al. Noninvasive physiologic vascular studies: a guide to diagnosing peripheral arterial disease. Radiograph, 2017, 37(1): 346-357.
2. Bevan G H, Solaru K. Evidence-based medical management of peripheral artery disease. Arterioscler Thromb Vasc Biol, 2020, 40(3): 541-553.
3. Weber T, Auer J, O’Rourke M, et al. Arterial stiffness, wave reflections, and the risk of coronary artery disease. Circulation, 2004, 109(2): 184-189.
4. Munir S, Guilcher A, Kamalesh T, et al. Peripheral augmentation index defines the relationship between central and peripheral pulse pressure. Hypertension, 2008, 51(1): 112-118.
5. Mackenzie I S, Wilkinson I B, Cockcroft J R. Assessment of arterial stiffness in clinical practice. QJM, 2002, 95(2): 67-74.
6. Lazović B, Mazić S, D Zikich, et al. The mathematical model of the radial artery blood pressure waveform through monitoring of the age-related changes. Wave Motion, 2015, 56: 14-21.
7. Sun Y, Anderson T J, Parker K H, et al. Wave-intensity analysis: a new approach to coronary hemodynamics. J Appl physiol, 2000, 89(4): 1636-1644.
8. Millasseau S C, Patel S J, Redwood S R, et al. Pressure wave reflection assessed from the peripheral pulse is a transfer function necessary? Hypertension, 2003, 41(5): 1016-1020.
9. Haider A W, Larson M G, Franklin S S, et al. Systolic blood pressure, diastolic blood pressure, and pulse pressure as predictors of risk for congestive heart failure in the Framingham heart study. Ann Intern Med, 2003, 138(1): 10-16.
10. Wang K L, Cheng H M, Sung S H, et al. Wave reflection and arterial stiffness in the prediction of 15-year all-cause and cardiovascular mortalities: a community-based study. Hypertension, 2010, 55(3): 799-805.
11. Zamani P, Jacobs D R, Segers P, et al. Reflection magnitude as a predictor of mortality the multi-ethnic study of atherosclerosis. Hypertension, 2014, 64(5): 958-964.
12. Parker K H. An introduction to wave intensity analysis. Med Biol Eng Comput, 2009, 47(2): 175-188.
13. Sugawara M, Niki K, Ohte N, et al. Clinical usefulness of wave intensity analysis. Med Biol Eng Comput, 2009, 47(2): 197-206.
14. Chinh N D, Luu M, Sun G, et al. Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform. Biomed Signal Proces, 2021, 65: 102361.
15. Jo G, Yang T H, Kim J U, et al. Development of a mathematical model for age-dependent radial artery pulse wave analysis based on pulse waveform decomposition. IEEE Access, 2019, 8: 2963-2974.
16. Gbaoui L, Kaniusas E. Arterial pulse wave decomposition by independent component analysis// 2009 IEEE International Workshop on Medical Measurements and Applications. Cetraro: IEEE, 2009: 111-115.
17. Liu C, Zheng D, Murray A, et al. Modeling carotid and radial artery pulse pressure waveforms by curve fitting with Gaussian functions. Biomed Signal Proces, 2013, 8(5): 449-454.
18. Xu L, Feng S, Yue Z, et al. Multi-gaussian fitting for digital volume pulse using weighted least squares method//2011 IEEE International Conference on Information and Automation. Shenzhen: IEEE, 2011: 544-549.
19. Wang L, Xu L, Zhao D, et al. FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian–cosine fitting. Comput Biol Med, 2015, 59: 142-151.
20. Laxminarayan S, Sipkema P, Westerhof N. Characterization of the arterial system in the time domain. IEEE Trans Biomed Eng, 1978, 25(2): 177-184.
21. Berger D S, Li J K, Laskey W K, et al. Repeated reflection of waves in the systemic arterial system. Am J Physiol, 1993, 264(33): 269-281.
22. Berger D S, Li J K, Noordergraaf A. Differential effects of wave reflections and peripheral resistance on aortic blood pressure: a model-based study. Am J Physiol, 1994, 266(35): 1626-1642.
23. Papaioannou T G, Karatzis E N, Papamichael C M, et al. Circadian variation of arterial pressure wave reflections. Am J Hypertens, 2006, 19(3): 259-263.
24. 朱耀斌, 李志强, 丁楠, 等. 脉搏传感器应用的研究进展. 中华实用诊断与治疗杂志, 2019, 33(3): 306-309.
25. Westerhof N, Sipkema P, Bos G C V D, et al. Forward and backward waves in the arterial system. Cardiovasc Res, 1972, 6(6): 648-656.
26. Laxminarayan S. The calculation of forward and backward waves in the arterial system. Med Biol Eng Comput, 1979, 17(1): 130.
27. Westerhof B E, Guelen I, Westerhof N, et al. Quantification of wave reflection in the human aorta from pressure alone a proof of principle. Hypertension, 2006, 48(4): 595-601.
28. Qasem A, Avolio A. Determination of aortic pulse wave velocity from waveform decomposition of the central aortic pressure pulse. Hypertension, 2008, 51(2): 188-195.
29. Dujardin J, Stone D N. Characteristic impedance of the proximal aorta determined in the time and frequency domain: a comparison. Med Biol Eng Comput, 1981, 19(5): 565-568.
30. Lekakis J P, Ikonomidis I, Protogerou A D, et al. Arterial wave reflection is associated with severity of extracoronary atherosclerosis in patients with coronary artery disease. Eur J Cardiovasc Prev Rehabil, 2006, 13(2): 236-242.
31. Takahashi T, Tomiyama H, Aboyans V, et al. Association of pulse wave velocity and pressure wave reflection with the ankle-brachial pressure index in Japanese men not suffering from peripheral artery disease. Atheroscler, 2020, 317(1): 29-35.
32. 徐礼胜, 宋代远, 刘文彦, 等. 用不同外周动脉波形重建主动脉波形的对比研究. 东北大学学报: 自然科学版, 2020, 41(2): 188-192.

Journal of Biomedical Engineering

Quantitative analysis of the effect of contact pressure on the reflection characteristics of radial pressure wave

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