基于HHT的胃电信号处理

摘要

In this paper, the Hilbert-Huang Transformation (HHT) method is adopted to deal with the gastric electric signal collected from patient bodies. Nonlinear and non-stationary original gastric electric signal series can be decomposed by using the empirical mode decomposition method(EMD) into a number of intrinsic mode function(IMF)components. Under the Hilbert transformation process, instantaneous frequency are effectively extracted. Selected the related frequency, such as 2～4cpm, then reconstructed the signal. This is a new and applicable time series analysis method based on mode decomposition. This method can accomplish the extraction of gastric electric signal and remove the disturbances such as blood flow and breathing. HHT is an easy and effective method to do EGG analysis in clinical diagnosis.%本文采用HHT(Hilbert-Huang Transformation,HHT)时间序列分析方法,处理从人体采集到的胃电信号,通过经验模态分解(EMD)技术将一非线性、非稳态过程的原始胃电序列分解为一组内在模态函数(IMF),然后对每一个IMF进行Hilbert变换,这样得到信号的瞬时频率,然后选择与胃电成分相关的频率成分,即2~4 cpm之间的IMF进行重构提取胃电信号,这是一种更具自适应性的、新型的、基于模态分解的时间序列数据处理方法,可以有效去掉叠加在胃电信号中的呼吸和血流等干扰信号,使胃电图(EGG)在临床诊断中更具有实际意义.