经验模态分解的人体结肠压力信号分析  

Analysis of colonic pressure based on EMD method

作　　者：褚敏[1] 田社平[1] 韦红雨[1] 王志武[1] 颜国正[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《中国计量学院学报》2007年第4期296-300,共5页Journal of China Jiliang University

基　　金：国家自然科学基金项目资助项目(No.30270382)

摘　　要：结肠测压技术可以提供整个结肠动力活动的信息,是广泛使用的评价消化道功能的检查手段.采用经验模态分解(EMD)方法将人体结肠压力信号分解为不同的固有模态函数,并对该固有模态函数进行Hilbert变换,于是可以清楚地辨别信号的特征.通过对于14例样本数据的第三个固有模态函数进行Hilbert变换,可以区分出正常(3例)和非正常(11例)的人体结肠压力信号,结果说明EMD方法是一种分析结肠压力信号的有效方法.Colonic manometry is a wildly used method to estimate functions of the alimentary tract and it can provide the whole motility of human colons. The Empirical Mode Decomposition was introduced to decompose human colonic pressure signals into a finite and often small number of intrinsic mode functions （IMF）. Hilbert transformation was used for analyzing the IMFs to capture the characteristics of colonic pressure signals. Fourteen samples were analyzed and the third IMF was used to judge the normal subjects （3 samples） and abnormal subjects （11 samples）. The results show that the EMD is an effective technique for the analysis of colonic pressure signals.

关 键 词：经验模态分解 结肠压力信号 时频分析 希尔伯特变换 

分 类 号：R318.04[医药卫生—生物医学工程] R574.62[医药卫生—基础医学]