Title :
Calculation of Forward and Backward Arterial Waves by Analysis of Two Pressure Waveforms
Author :
Swamy, Gokul ; Olivier, N. Bari ; Mukkamala, Ramakrishna
Author_Institution :
Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
We developed a technique to calculate forward and backward arterial waves from proximal and distal pressure waveforms. First, the relationship between the waveforms is represented with an arterial tube model. Then, the model parameters are estimated via least-squares fitting. Finally, the forward and backward waves are calculated using the parameter estimates. Thus, unlike most techniques, the arterial waves are determined without a more difficult flow measurement or an experimental perturbation. We applied the technique to central aortic and femoral artery pressure waveforms from anesthetized dogs during drug infusions, volume changes, and cardiac pacing. The calculated waves predicted an abdominal aortic pressure waveform measurement more accurately (2.4 mmHg error) than the analyzed waveforms (5.3 mmHg average error); reliably predicted relative changes in a femoral artery flow measurement (14.7% error); and changed as expected with selective vasoactive drugs. The ratio of the backward- to forward-wave magnitudes was 0.37 ± 0.05 during baseline. This index increased by ~50% with phenylephrine and norepinephrine, decreased by ~60% with dobutamine and nitroglycerin, and changed little otherwise. The time delay between the waves in the central aorta was 175 ± 14 ms during baseline. This delay varied by ±~25% and was inversely related to mean pressure.
Keywords :
blood flow measurement; blood vessels; drugs; arterial tube model; backward arterial wave; cardiac pacing; dobutamine; dog; drug infusion; femoral artery flow measurement; forward arterial wave; least squares fitting; nitroglycerin; norepinephrine; phenylephrine; pressure waveform; Arteries; Blood pressure; Fluid flow measurement; Mathematical model; Parameter estimation; Arteries; blood pressure; mathematical model; parameter estimation; Algorithms; Animals; Aorta; Blood Pressure; Dogs; Femoral Artery; Least-Squares Analysis; Models, Cardiovascular; Reproducibility of Results; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2073467