Analysis on the Cyclical Fluctuations of the Blood Flow in the Microcirculation

Y. Mao, Jianmei Xu, L. Bai, Jiantao Niu, Jiwen Yang, Xiaoyan Tan
{"title":"Analysis on the Cyclical Fluctuations of the Blood Flow in the Microcirculation","authors":"Y. Mao, Jianmei Xu, L. Bai, Jiantao Niu, Jiwen Yang, Xiaoyan Tan","doi":"10.1109/BMEI.2009.5305558","DOIUrl":null,"url":null,"abstract":"In order to analyze the relationship between time series of the blood flow that has been measured in a small area of tissue and patterns of the blood flow fluctuations in the capillary unit, the autocorrelation coefficient model was established to characterize the continuity of blood flow based on the theory of autocorrelation coefficient. And it's proved that if we take blood flow of a local tissue as a clustered sequences, which are made up of a number of capillary units with the same pseudo cycle and different phases, the sequence of microcirculation blood flow and the capillary unit have the same cycle fluctuations. Measured the blood flow of the human biceps in resting, denoised the signals through wavelet tranform, and derived the spectrum and pseudo cycle by Matlab. The character of blood flow fluctuations in a capillary unit can thus be estimated, which provided an effective way to find out character of the blood flow in the capillary unit.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"75 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5305558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to analyze the relationship between time series of the blood flow that has been measured in a small area of tissue and patterns of the blood flow fluctuations in the capillary unit, the autocorrelation coefficient model was established to characterize the continuity of blood flow based on the theory of autocorrelation coefficient. And it's proved that if we take blood flow of a local tissue as a clustered sequences, which are made up of a number of capillary units with the same pseudo cycle and different phases, the sequence of microcirculation blood flow and the capillary unit have the same cycle fluctuations. Measured the blood flow of the human biceps in resting, denoised the signals through wavelet tranform, and derived the spectrum and pseudo cycle by Matlab. The character of blood flow fluctuations in a capillary unit can thus be estimated, which provided an effective way to find out character of the blood flow in the capillary unit.
微循环中血流周期波动的分析
为了分析小面积组织内测量到的血流时间序列与毛细血管单元内血流波动模式之间的关系,基于自相关系数理论,建立了表征血流连续性的自相关系数模型。并且证明了如果我们将局部组织的血流作为一个簇状序列,这个簇状序列是由许多具有相同伪周期和不同阶段的毛细血管单元组成的,那么微循环血流序列和毛细血管单元具有相同的周期波动。测量人体静息状态下肱二头肌的血流,对信号进行小波变换去噪,并利用Matlab推导出频谱和伪周期。由此可以估计出毛细管单元内血流波动的特性,为了解毛细管单元内血流特性提供了一种有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信