基于HHT的生物电阻抗胃动力信号分析方法  

A signal analysis method for bioelectrical impedance measurement of gastric motility based on HHT

作　　者：柴林燕[1] 赵舒[1] 沙洪[1] 

机构地区：[1]中国医学科学院北京协和医学院生物医学工程研究所,天津300192

出　　处：《国际生物医学工程杂志》2011年第2期82-85,共4页International Journal of Biomedical Engineering

基　　金：天津市应用基础及前沿技术研究计划项目（08JCYBJC14100）

摘　　要：目的 采用HHT时间序列分析方法处理从人体采集到的胃动力信号。方法通过经验模态分解（EMD）技术将一非线性、非稳态过程的原始胃动力序列分解为一组内在模态函数（IMFs），对每一个IMF进行Hilbert变换，得到信号的瞬时频率，然后选择与胃动力相关的频率成分，即0．03～0．06Hz之间的IMF进行重构提取胃动力信号。结果使用该方法可以有效去除叠加在阻抗胃动力信号中的呼吸和血流等干扰信号，保留胃动力信号的有效频率成分。结论此方法是一种更具有自适应的、新型的、基于模态分解的时间序列数据处理方法，可以有效地为临床胃动力信息研究提供一种新途径。Objective The Hilbert- Huang transformation （HHT） method was introduced to process the bio-impedance gastric motility signals from subjects. Methods Nonlinear and non-stationary original gastric motility series were decomposed into a number of intrinsic mode function （IMF） components by the empirical mode decomposition method （EMD）. Hilbert transformation was carried out then and instantaneous frequency was extracted effectively. Gastric motility signal among 0.03-0.06 Hz was reconstructed from the IMF. Results The results suggested that HHT was a new and applicable time series analysis method based on mode decomposition and could extract impedance signal and remove the disturbances such as blood flow and breathing. Conclusion The new adaptive mode decomposition-based signal processing method provides a new method to investigate clinical gastric motility information.

关 键 词：HH变换 生物阻抗 胃动力信息 

分 类 号：R3[医药卫生—基础医学]