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Blood Pressure Simulation using an Arterial Pressure-volume Model

  • Yoon, Sang-Hwa (PhysioLab Co. Ltd) ;
  • Kim, Jae-Hyung (School of Computer Aided Science, Inje University) ;
  • Ye, Soo-Young (BK21 Medical Science Education Center, College of Medicine, Pusan National University) ;
  • Kim, Cheol-Han (Department of Biomedical-engineering, College of Medicine, Pusan National University) ;
  • Jeon, Gye-Rok (Department of Biomedical-engineering, College of Medicine, Pusan National University)
  • Published : 2008.02.29

Abstract

Using an arterial pressure-volume (APV) model, we performed an analysis of the conventional blood pressure estimation method using an oscillometric sphygmomanometer with computer simulation. Traditionally, the maximum amplitude algorithm (MAA) has been applied to the oscillation waveforms of the APV model to obtain the mean arterial pressure and the characteristic ratio. The estimation of mean arterial pressure and characteristic ratio was significantly affected by the shape of the blood pressure waveforms and the cutoff frequency of high-pass filter (HPF) circuitry. Experimental errors result from these effects when estimating blood pressure. To determine an algorithm independent of the influence of waveform shapes and parameters of HPF, the volume oscillation of the APV model and the phase shift of the oscillation with fast Fourier transform (FFT) were tested while increasing the cuff pressure from 1 mmHg to 200 mmHg (1 mmHg/s). The phase shift between ranges of volume oscillation was then only observed between the systolic and the diastolic blood pressures. The same results were obtained from simulations performed on two different arterial blood pressure waveforms and one hyperthermia waveform.

Keywords

References

  1. A. J. Moss, "Indirect method of blood pressure measurement", Pediatr. Clin. North Am., Vol. 25(1), p. 136, 1978
  2. J. K. Cheun, "Cardiopulmonary physiology for the clinicians", Koon Ja Publishing Inc., p. 57, 1996
  3. E. J. Marey, "Pression et vitesse du sang, physiologic experimentable", Masson, Paris, Vol. 2, ch. VII, p. 307, 1876
  4. J. A. Posey, L. A. Geddes, H. Williams, and A. G. Moore, "The meaning of the point of maximum oscillations in cuff pressure in the indirect measurement of blood pressure: part I", Cardiovasc. Res. Center Bull., Vol. 8, p. 15, 1969
  5. M. Wang, "Development of K-sound and oscillometric pulse generating system for NIBP monitor tester", M. Sc. thesis, Department of Mechanical Engineering, Queen's University, Kingston, Ontario, Canada, 1990
  6. G. Drzewiecki, R. Hood, and H. Apple, "Theory of the oscillometric maximum and the systolic and diastolic detection ratios", Ann. Biomed. Eng., Vol. 22, p. 88, 1994 https://doi.org/10.1007/BF02368225
  7. L. A. Geddes, M. Voelz, C. Combs, D. Reiner, and C. F. Babbs, "Characterization of the oscillometric method for measuring indirect blood pressure", Ann. Biomed. Eng., Vol. 10, p. 271, 1982 https://doi.org/10.1007/BF02367308
  8. S. H. Liu, "A model-based fuzzy logic controller for tracking mean arterial pressure", IEEE International Fuzzy Systems Conference, p. 1495, 2001
  9. C. T. Lin, S. H. Liu, J. J. Wang, and Z. C. Wen, "Reduction of interference in oscillometric arterial blood pressure measurement using fuzzy logic", IEEE Trans. Biomed. Eng., Vol. 50(4), p. 432, 2003 https://doi.org/10.1109/TBME.2003.809502