A technical assessment of pulse wave velocity algorithms applied to non-invasive arterial waveforms

Annals of Biomedical Engineering

Volumn 41, Issue 12, 2013, Pages 2617-2629

  Gaddum, N R ^a   Alastruey, J ^a   Beerbaum, P ^b   Chowienczyk, P ^a   Schaeffter, T ^a  

^a ST THOMAS HOSPITAL   (United Kingdom)

^b HANNOVER MEDICAL SCHOOL   (Germany)

Author keywords

Cross correlation; Doppler ultrasound; Foot to foot; Least squares; One dimensional modelling; Pulse wave velocity; Tonometry

Indexed keywords

BLOOD PRESSURE; LEAST SQUARES APPROXIMATIONS; NONINVASIVE MEDICAL PROCEDURES; WAVE PROPAGATION; WAVEFORM ANALYSIS;

CROSS CORRELATIONS; DOPPLER ULTRASOUND; FOOT TO FOOT; LEAST SQUARE; PULSE WAVE VELOCITY; TONOMETRY;

ACOUSTIC WAVE VELOCITY;

ALGORITHM; ARTICLE; BLOOD PRESSURE MEASUREMENT; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; CROSS CORRELATION ALGORITHM; FOOT TO FOOT ALGORITHM; HUMAN; LEAST SQUARED DIFFERENCE ALGORITHM; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; NOISE; PULSE WAVE; QUANTITATIVE STUDY; SIGNAL NOISE RATIO; SPHYGMOMANOMETER; ULTRASOUND TRANSDUCER; WAVEFORM;

ALGORITHMS; ARTERIES; BLOOD FLOW VELOCITY; HUMANS; HYPERTENSION; PULSE WAVE ANALYSIS; VASCULAR STIFFNESS;

EID: 84896691315     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-013-0854-y     Document Type: Article

References (23)

1. Alastruey, J., A. W. Khir, K. S. Matthys, et al. Pulse wave propagation in a model human arterial network: assessment of 1-D visco-elastic simulations against in vitro measurements. J. Biomech. 44(12):2250-2258, 2011.
2. Benthin, M., P. Dahl, R. Ruzicka, and K. Lindström. Calculation of pulse-wave velocity using cross correlation-effects of reflexes in the arterial tree. Ultrasound Med. Biol. 17(5):461-496, 1991.
3. Bramwell, J. C. and A. V. Hill. The velocity of the pulse wave in man. In: Royal Society of London. Series B, Containing Papers of a Biological Character. The Royal Society, 1922.
4. Cheng, C. P., R. J. Herfkens, and C. A. Taylor. Abdominal aortic hemodynamic conditions in healthy subjects aged 50-70 at rest and during lower limb exercise: in vivo quantification using MRI. Atherosclerosis 168(2):323-331, 2003.
5. Chiu, Y. C., P. W. Arand, S. G. Shroff, T. Feldman, and J. D. Carroll. Determination of pulse wave velocities with computerized algorithms. Am. Heart J. 121(5):1460-1470, 1991.
6. Dogui, A., A. Redheuil, M. Lefort, et al. Measurement of aortic arch pulse wave velocity in cardiovascular MR: comparison of transit time estimators and description of a new approach. J. Magn. Reson. Imaging 33(6):1321-1329, 2011.
7. Fielden, S. W., B. K. Fornwalt, M. Jerosch-Herold, R. L. Eisner, A. E. Stillman, and J. N. Oshinski. A new method for the determination of aortic pulse wave velocity using cross-correlation on 2D PCMR velocity data. J. Magn. Reson. Imaging 27(6):1382-1387, 2008.
8. Gaddum, N. TTAlgorithm. 2012; Available from: http://www.mathworks.co.uk/ matlabcentral/fileexchange/37746-ttalgorithm.
9. Ibrahim, E.-S. H., K. R. Johnson, A. B. Miller, J. M. Shaffer, and R. D. White. Measuring aortic pulse wave velocity using high-field cardiovascular magnetic resonance: Comparison of techniques. J. Cardiovasc. Magn. Reson. 12:26, 2010.
10. Latham, R. D., N. Westerhof, P. Sipkema, B. J. Rubal, P. Reuderink, and J. P. Murgo. Regional wave travel and reflections along the human aorta. Circulation 72(6):1257-1269, 1985.
11. Laurent, S., and P. Boutouyrie. Recent advances in arterial stiffness and wave reflection in human hypertension. Hypertension 49:1202-1206, 2007.
12. Laurent, S., J. Cockcroft, L. Van Bortel, et al. Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur. Heart J. 27:2588-2605, 2006.
13. Lehmann, E. D., K. D. Hopkins, A. Rawesh, et al. Relation between number of cardiovascular risk factors/events and noninvasive Doppler ultrasound assessments of aortic compliance. Hypertension 32(3):565-569, 1998.
14. Malindzak, Jr, G. S. Reflection of pressure pulses in the aorta. Med. Res. Eng. 6(4):25-31, 1967.
15. Matthys, K. S., J. Alastruey, J. Peiró, et al. Pulse wave propagation in a model human arterial network: assessment of 1-D numerical simulations against in vitro measurements. J. Biomech. 40(15):3476-3486, 2007.
16. Mitchell, G. F., M. A. Pfeffer, P. V. Finn, and J. M. Pfeffer. Comparison of techniques for measuring pulse-wave velocity in the rat. J. Appl. Physiol. 82(1):203-210, 1997.
17. Moens, A. I. Die pulskurve. 1878: Leiden.
18. Nichols, W. W., M. F. O'Rourke, and C. Vlachopoulos. Mcdonald's blood flow in arteries. Theoretical, experimental and clinical principles (6th ed.). London: Arnold, 2011.
19. Reymond, P., F. Merenda, F. Perren, D. Rufenacht, and N. Stergiopulos. Validation of a one-dimensional model of the systemic arterial tree. Am. J. Physiol. Heart Circ. Physiol. 297(1):H208-H222, 2009.
20. Todd, B. S., and D. C. Andrews. The identification of peaks in physiological signals. Comput. Biomed. Res. 32:322-335, 1999.
21. Vardoulis, O., T. G. Papaioannou, and N. Stergiopulos. On the estimation of total arterial compliance from aortic pulse wave velocity. Ann. Biomed. Eng. 40(12):2619-2626, 2012.
22. Vlachopoulos, C., K. Aznaouridis, M. F. O'Rourke, M. E. Safar, K. Baou, and C. Stefanadis. Prediction of cardiovascular events and all-cause mortality with central haemodynamics: a systematic review and meta-analysis. Eur. Heart J. 31(15):1865-1871, 2010.
23. Zuo, J. L., Y. Li, Z. J. Yan, et al. Validation of the central blood pressure estimation by the sphygmocor system in Chinese. Blood Press. Monit. 15(5):268-274, 2010.