| Peer-Reviewed

Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve

Received: 10 December 2018     Accepted: 16 January 2019     Published: 20 February 2019
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Abstract

The left ventricular blood pressure curve of one cardiac cycle of an actual heart is known, and its blood pressure curve is fitted by the fuzzy control of three elements. According to the characteristics at the time points on the curve of blood pressure, after divided into five sections, it could be fitted. When using a three-element-controlled fuzzy fit, the curve is expressed as y(x)=c2x2+c1x+c0, where ci is the constant to be solved, and because of the three unknown c2, c1, c0, there must be 3 constraints . If we know the three coordinate points on the distribution curve and slope m1 on the initial segment, When y (x)=c2x2+c1x+c0 is expressed in a matrix, then the inverse of it can be obtained. Thus, we can get the expression y=f(x)=f(x1, y1, x2, y2, m1). In the Maple software environment, entering the expression f(x1, y1, x2, y2, m1) and x1, x2, y1, y2, m1, then could get the y = f(x) expressions and plot their graphs. The fitting results of y= f(X) expressions for the 5 periods are shown in table 3 and after observed fitting effect of the three control elements, the visual effect on the curve is still well as possible. The maximum and the minimum blood pressure in the left ventricle are 120 and 1.5 mm Hg, respectively, and the resulting expression y = f(x) for each segment can be put into practical use for electrostatic excitation of aorta electrostatic pumps.

Published in Asia-Pacific Journal of Computer Science and Technology (Volume 1, Issue 1)
Page(s) 8-14
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Blood Pressure Curve of Heart, Three-Element Controlled Fuzzy Fit, Electrostatic Blood Pump and Valve, Inversion, Two Order Polynomial

References
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[2] 孙冰、田丰、刘远鹏、齐景爱、高金雍,微小型静电泵的设计(1)[J].传感器世界,2016,7(22):25-30。
[3] 孙冰、田丰、刘远鹏、齐景爱、高金雍,微小型静电泵的设计(2)[J].传感器世界,2016,8(22):11-15。
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[5] Xueen Yang,Alexander Hölke, Martin Schmidt, An electrostatic, on/off MEMS valve for gas fuel delivery of a micro engine, Journal of Microelectromechanical Systems 13(4):660- 668, September 2004.
[6] 武文芳,吴兵,人工心脏的历史及研究进展,中国医学装备,2008(5):72-77。
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[8] 闫翾宇,施光林,心脏的一种建模新方法及仿真,计算机仿真,2011,11,V.28(11),262-266。
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Cite This Article
  • APA Style

    Sun Bing, Tian Feng, Liu Li, Zhang Yan, Qi Jingai. (2019). Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve. Asia-Pacific Journal of Computer Science and Technology, 1(1), 8-14.

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    ACS Style

    Sun Bing; Tian Feng; Liu Li; Zhang Yan; Qi Jingai. Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve. Asia-Pac. J. Comput. Sci. Technol. 2019, 1(1), 8-14.

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    AMA Style

    Sun Bing, Tian Feng, Liu Li, Zhang Yan, Qi Jingai. Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve. Asia-Pac J Comput Sci Technol. 2019;1(1):8-14.

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  • @article{10035917,
      author = {Sun Bing and Tian Feng and Liu Li and Zhang Yan and Qi Jingai},
      title = {Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve},
      journal = {Asia-Pacific Journal of Computer Science and Technology},
      volume = {1},
      number = {1},
      pages = {8-14},
      url = {https://www.sciencepublishinggroup.com/article/10035917},
      abstract = {The left ventricular blood pressure curve of one cardiac cycle of an actual heart is known, and its blood pressure curve is fitted by the fuzzy control of three elements. According to the characteristics at the time points on the curve of blood pressure, after divided into five sections, it could be fitted. When using a three-element-controlled fuzzy fit, the curve is expressed as y(x)=c2x2+c1x+c0, where ci is the constant to be solved, and because of the three unknown c2, c1, c0, there must be 3 constraints . If we know the three coordinate points on the distribution curve and slope m1 on the initial segment, When y (x)=c2x2+c1x+c0 is expressed in a matrix, then the inverse of it can be obtained. Thus, we can get the expression y=f(x)=f(x1, y1, x2, y2, m1). In the Maple software environment, entering the expression f(x1, y1, x2, y2, m1) and x1, x2, y1, y2, m1, then could get the y = f(x) expressions and plot their graphs. The fitting results of y= f(X) expressions for the 5 periods are shown in table 3 and after observed fitting effect of the three control elements, the visual effect on the curve is still well as possible. The maximum and the minimum blood pressure in the left ventricle are 120 and 1.5 mm Hg, respectively, and the resulting expression y = f(x) for each segment can be put into practical use for electrostatic excitation of aorta electrostatic pumps.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Fitting a Cardiac Cycle of Left Ventricular Blood Pressure Curve
    AU  - Sun Bing
    AU  - Tian Feng
    AU  - Liu Li
    AU  - Zhang Yan
    AU  - Qi Jingai
    Y1  - 2019/02/20
    PY  - 2019
    T2  - Asia-Pacific Journal of Computer Science and Technology
    JF  - Asia-Pacific Journal of Computer Science and Technology
    JO  - Asia-Pacific Journal of Computer Science and Technology
    SP  - 8
    EP  - 14
    PB  - Science Publishing Group
    UR  - http://www.sciencepg.com/article/10035917
    AB  - The left ventricular blood pressure curve of one cardiac cycle of an actual heart is known, and its blood pressure curve is fitted by the fuzzy control of three elements. According to the characteristics at the time points on the curve of blood pressure, after divided into five sections, it could be fitted. When using a three-element-controlled fuzzy fit, the curve is expressed as y(x)=c2x2+c1x+c0, where ci is the constant to be solved, and because of the three unknown c2, c1, c0, there must be 3 constraints . If we know the three coordinate points on the distribution curve and slope m1 on the initial segment, When y (x)=c2x2+c1x+c0 is expressed in a matrix, then the inverse of it can be obtained. Thus, we can get the expression y=f(x)=f(x1, y1, x2, y2, m1). In the Maple software environment, entering the expression f(x1, y1, x2, y2, m1) and x1, x2, y1, y2, m1, then could get the y = f(x) expressions and plot their graphs. The fitting results of y= f(X) expressions for the 5 periods are shown in table 3 and after observed fitting effect of the three control elements, the visual effect on the curve is still well as possible. The maximum and the minimum blood pressure in the left ventricle are 120 and 1.5 mm Hg, respectively, and the resulting expression y = f(x) for each segment can be put into practical use for electrostatic excitation of aorta electrostatic pumps.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • Tianjin Metrology Supervision and Testing Science Research Institute, Tianjin, China

  • University Office, Information College, Hebei University of Technology, Tianjin, China

  • University Office, Information College, Hebei University of Technology, Tianjin, China

  • University Office, Information College, Hebei University of Technology, Tianjin, China

  • University Office, Information College, Hebei University of Technology, Tianjin, China

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