Analysis of the characteristics of gastrointestinal motility based on Hilbert-Huang transform method  

作　　者：黄标 Yan Guozheng 

机构地区：[1]No. 820 Laboratory, Department of Instrument, Shanghai Jiaotong University, Shanghai 200240, P.R. China

出　　处：《High Technology Letters》2008年第1期30-34,共5页高技术通讯（英文版）

基　　金：the National High.Technology Research and Development Programme of China(2004AA404013)

摘　　要：Pressure activity data as an important index of gastrointestinal （GI） motility can be obtained from the wireless radiotelemetry capsule. The Hilbert-Huang transform （HHT） method, which is more effective to process non-stationary signal, is proposed to identify the characteristics of GI motility. We decompose the pressure activity data into intrinsic mode functions （IMFs）, calculate the Hi/bert marginal spectrum and attain the peristalsis characteristics of GI tract. The IMFs represent the peristalses modes of GI tract activity embedded in the pressure data. The time-varying characteristic of the method suggests that the HHT is suitable to accommodate other non-stationary biomedical data analysis.Pressure activity data as an important index of gastrointestinal(GI)motility can be obtained from thewireless radiotelemetry capsule.The Hilbert-Huang transform(HHT)method,whieh is more effective toprocess non-stationary signal,is proposed to identify the characteristics of GI motility.We decompose thepressure activity data into intrinsic mode functions(IMFs),calculate the Hilbert marginal spectrum andattain the peristalsis characteristics of GI tract.The IMFs represent the peristalses modes of GI tract activ-ity embedded in the pressure data.The time-varying characteristic of the method suggests that the HI-IT issuitable to aeeommodate other non-stationary biomedical data analysis.

关 键 词：intrinsic mode function empirical mode decomposition （EMD） Hilbert-Huang transform （HHT） method gastrointestinal （GI） motility 

分 类 号：TN925[电子电信—通信与信息系统]