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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 388-393
A.G. Lindgren , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
K. Kerr , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
L. Antonelli , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Y. Sun , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
ABSTRACT
System identification techniques were employed to characterize the dynamics in the arterial system. Arterial pressure and flow waveforms were obtained from computer simulations using a complex model and from experiments in domestic swine. Transfer functions were identified by using an iterative least-squares approach. It was shown that the aortic input impedance can be sufficiently characterized by a 1st-order system and the transfer function between aorta and femoral artery is dominated by a 2nd-order system. Within a scale factor the estimated aortic flow waveform matched well with the measured (less than 1% error). Thus, the proposed method provides for the cycle-by-cycle determination of flow waveform from aortic root pressure and should be useful for studying circulatory dynamics and regulatory control mechanisms.<>
INDEX TERMS
medical signal processing, identification, blood flow measurement, blood pressure measurement, cardiology, iterative methods, least squares approximations, waveform analysis
CITATION

A. Lindgren, K. Kerr, L. Antonelli and Y. Sun, "Waveforms in the arterial tree," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 388-393.
doi:10.1109/ACSSC.1994.471482
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