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作者:

Mao, Boyan (Mao, Boyan.) | Wang, Wenxin (Wang, Wenxin.) | Zhao, Zhou (Zhao, Zhou.) | Zhao, Xi (Zhao, Xi.) | Li, Lanlan (Li, Lanlan.) | Zhang, Huixia (Zhang, Huixia.) | Liu, Youjun (Liu, Youjun.) (学者:刘有军)

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摘要:

Background: During coronary artery bypass grafting (CABG), the ratio of powers of the fundamental frequency and its first harmonic (F0/H1) in fast Fourier transformation (FFT) analysis of the graft's flow waves has been used in the field of evaluation of the patency in anastomosis. But there is no report about using the FFT method to evaluate the magnitude of competitive flow. This study is aiming at exploring the relationship between competitive flow and FFT analysis of the flow waves in left internal mammary artery (LIMA) graft, and finding a new method to evaluate the magnitude of competitive flow. Methods: At first, establishing the CABG multiscale models of different stenosis in left anterior descending artery (LAD) to get different magnitude of competitive flows. Then, calculating the models by ANSYS-CFX and getting the flow waves in LIMA. Finally, analyzing the flow waves by FFT method and comparing the FFT results with the magnitude of competitive flow. Results: There is no relationship between competitive flow and F0/H1. As for F0/ H2 and F0/H3, they both increase with the reduction of the stenosis in LAD. But the increase of F0/H3 is not obviously enough and it can't identify the significant competitive flow clearly, so it can't be used as the evaluation index. It is found that F0/ H2 increases obviously with the increase of the competitive flow and can identify the significant competitive flow. Conclusion: The FFT method can be used in the evaluation of competitive flow and the F0/H2 is the ideal index. High F0/H2 refers to the significant competitive flow. This method can be used during CABG to avoid the risk of competitive flow.

关键词:

Competitive flow CABG FFT

作者机构:

  • [ 1 ] [Mao, Boyan]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 2 ] [Wang, Wenxin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 3 ] [Zhao, Xi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 4 ] [Li, Lanlan]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 5 ] [Zhang, Huixia]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 6 ] [Liu, Youjun]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 7 ] [Zhao, Zhou]Peking Univ, Peoples Hosp, Beijing, Peoples R China

通讯作者信息:

  • 刘有军

    [Liu, Youjun]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China

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来源 :

BIOMEDICAL ENGINEERING ONLINE

ISSN: 1475-925X

年份: 2016

卷: 15

3 . 9 0 0

JCR@2022

ESI学科: MOLECULAR BIOLOGY & GENETICS;

ESI高被引阀值:360

中科院分区:4

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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