基于集合经验模态分解的人体结肠动力分析

鲁丽; 颜国正; 赵凯; 许飞

doi:10.3788/OPE.20152306.1580

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基于集合经验模态分解的人体结肠动力分析

微纳技术与精密机械 | 更新时间：2020-08-13

- 基于集合经验模态分解的人体结肠动力分析
- Analysis of human colonic motility using EEMD
- 光学精密工程 2015年23卷第6期页码：1580-1586
- 作者机构：
  
  上海交通大学电子信息与电气工程学院上海,200240
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.60875061,No.31170968,No.30800235)();载人航天领域预研基金资助项目(No.010203)();上海市科
- DOI：10.3788/OPE.20152306.1580
  中图分类号： R574.62;TP242.3
- 收稿日期：2014-10-15，
  
  修回日期：2014-12-30，
  
  纸质出版日期：2015-06-25
- 稿件说明：
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鲁丽, 颜国正, 赵凯等. 基于集合经验模态分解的人体结肠动力分析[J]. 光学精密工程, 2015,23(6): 1580-1586

LU Li, YAN Guo-zheng, ZHAO Kai etc. Analysis of human colonic motility using EEMD[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1580-1586
鲁丽, 颜国正, 赵凯等. 基于集合经验模态分解的人体结肠动力分析[J]. 光学精密工程, 2015,23(6): 1580-1586 DOI： 10.3788/OPE.20152306.1580.

LU Li, YAN Guo-zheng, ZHAO Kai etc. Analysis of human colonic motility using EEMD[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1580-1586 DOI： 10.3788/OPE.20152306.1580.

摘要

针对目前临床上应用的便秘诊断措施有创且诊断效果不理想的问题

开展了基于无创检测设备获得胃肠道生理信息的研究.利用非线性分析方法分析人体结肠动力并找出正常人和便秘病人之间的区别

为临床诊断便秘提供参考.对8个正常人和10个便秘病人的结肠压力数据进行了分析.首先

通过阈值和集合经验模态分解(EEMD)有效滤除了结肠压力数据中的呼吸

咳嗽

电磁干扰等噪声;然后

提取了表征结肠动力的特征参数如结肠收缩频率

动力指数

平均收缩波峰值;最后

通过

检验比较了正常人和便秘病人结肠特征参数.结果显示:正常人和便秘病人的收缩频率

动力指数有明显统计不同 (

0.05);然而

正常人和便秘病人的平均收缩波峰值没有明显统计差别.分析表明

收缩频率、动力指数可以区分正常人和便秘病人.

Abstract

As current diagnostic methods for constipation are invasive and the diagnostic effects are not ideal

this paper researches how to use the noninvasive detection equipment to obtain the gastrointestinal physiological information. The nonlinear analysis methods were taken to analyze human colon dynamics and to find out the difference between normal people and constipated patients

then to provide references for clinical diagnosis of the constipation. Colonic pressure data from 8 healthy and 10 constipated subjects were analyzed. Firstly

the breathing

coughing

electromagnetic interference noise in the colonic pressure data were filtered by thresholds and the Ensemble Empirical Mode Decomposition (EEMD). Then

the colonic contractile frequency

motility index and the average peak of peristaltic wave were extracted to characterize the colonic dynamic properties. Finally

the feature parameters between healthy and constipated subjects were compared by using the

test. Analysis shows that the number of contractions and the motility indexes of healthy subjects are different from that of the patients with constipation (

0.05)

and they have statistically significance for distinguish the healthy subjects and the patients with constipation

but the average peak of peristaltic wave does not.So it suggests that the number of contractions and motility indexes could be used in the noninvasive detection for diagnostics of the healthy subjects and patients with the constipation.

关键词

Keywords

references

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