Y. Mao, Jianmei Xu, L. Bai, Jiantao Niu, Jiwen Yang, Xiaoyan Tan
{"title":"微循环中血流周期波动的分析","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":"{\"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}","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}
Analysis on the Cyclical Fluctuations of the Blood Flow in the Microcirculation
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.