Literature DB >> 2360669

Time-domain formulation of asymmetric T-tube model of arterial system.

K B Campbell1, R Burattini, D L Bell, R D Kirkpatrick, G G Knowlen.   

Abstract

An asymmetric T-tube model of the arterial system with complex terminal loads was formulated in the time domain. The model was formulated to allow it to be fitted to the aortic pressure waveform, the aortic flow waveform, or simultaneously to both the aortic and descending aortic flow waveforms. Pressure and flow measurements were taken in anesthetized open-chest dogs under basal, vasoconstricted, and vasodilated states. It was found that the T-tube model fitted the data well in all formulations and in all vasoactive states. However, all parameters were estimated accurately in all vasoactive states only with the formulation that fitted to both aortic and descending aortic flow simultaneously. The T-tube model was compared with the three-element windkessel model with regard to the respective models' ability to recreate specific aspects of the pressure waveform and with regard to the estimates of global arterial parameters. The T-tube model recremated those features of the pressure waveform, such as diastolic waves, that the windkessel model could not. Also, the T-tube model systematically estimated lower global arterial compliance and higher characteristic impedance than the windkessel. It was argued that the T-tube model accurately represented important wave transmission features of the arterial loading system. The model is recommended for use in characterizing the arterial load and for merging with representations of the left ventricle in studies of left ventricle-systemic arterial interaction.

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Year:  1990        PMID: 2360669     DOI: 10.1152/ajpheart.1990.258.6.H1761

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  7 in total

1.  Impedance and wave reflection in arterial system: simulation with geometrically tapered T-tubes.

Authors:  K C Chang; Y Z Tseng; T S Kuo; H I Chen
Journal:  Med Biol Eng Comput       Date:  1995-09       Impact factor: 2.602

2.  A Priori Identifiability Analysis of Cardiovascular Models.

Authors:  Jonathan A Kirk; Maria P Saccomani; Sanjeev G Shroff
Journal:  Cardiovasc Eng Technol       Date:  2013-12       Impact factor: 2.495

3.  Subject-specific estimation of central aortic blood pressure via system identification: preliminary in-human experimental study.

Authors:  Nima Fazeli; Chang-Sei Kim; Mohammad Rashedi; Alyssa Chappell; Shaohua Wang; Roderick MacArthur; M Sean McMurtry; Barry Finegan; Jin-Oh Hahn
Journal:  Med Biol Eng Comput       Date:  2014-09-03       Impact factor: 2.602

4.  A novel method of trans-esophageal Doppler cardiac output monitoring utilizing peripheral arterial pulse contour with/without machine learning approach.

Authors:  Kazunori Uemura; Takuya Nishikawa; Toru Kawada; Can Zheng; Meihua Li; Keita Saku; Masaru Sugimachi
Journal:  J Clin Monit Comput       Date:  2021-02-17       Impact factor: 2.502

5.  Tube-load model parameter estimation for monitoring arterial hemodynamics.

Authors:  Guanqun Zhang; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  Front Physiol       Date:  2011-11-01       Impact factor: 4.566

6.  Misinterpretation of the Determinants of Elevated Forward Wave Amplitude Inflates the Role of the Proximal Aorta.

Authors:  Timothy S Phan; John K-J Li; Patrick Segers; Julio A Chirinos
Journal:  J Am Heart Assoc       Date:  2016-02-19       Impact factor: 5.501

7.  Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction.

Authors:  Frank Lam; Hsiang-Wei Lu; Chung-Che Wu; Zekeriya Aliyazicioglu; James S Kang
Journal:  Comput Math Methods Med       Date:  2017-05-22       Impact factor: 2.238

  7 in total

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