基于集合经验模态分解的人体结肠动力分析

发布时间：2018-05-18 20:41

本文选题：无线胶囊 + 无线传感器　；参考：《光学精密工程》2015年06期

【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t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(p0.05);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]:In order to solve the problem that the diagnosis of constipation is invasive and the diagnosis effect is not satisfactory, the research of obtaining gastrointestinal physiological information based on noninvasive detection equipment is carried out. The method of nonlinear analysis was used to analyze the colonic motility of human body and to find out the difference between normal people and constipation patients in order to provide reference for clinical diagnosis of constipation. The colonic pressure data of 8 normal subjects and 10 constipation patients were analyzed. First, the noise such as breathing, coughing, electromagnetic interference and so on are effectively filtered from the colonic pressure data by threshold and set empirical mode decomposition (EEMDD). Then, the characteristic parameters of colonic motility such as colonic contraction frequency and dynamic index are extracted. Finally, the colon characteristic parameters of normal subjects and constipation patients were compared by t-test. The results showed that the contractile frequency and dynamic index were significantly different between normal subjects and constipation patients, but there was no significant statistical difference between normal subjects and constipation patients. Analysis shows that systolic frequency and dynamic index can distinguish between normal and constipated patients.
【作者单位】：上海交通大学电子信息与电气工程学院;
【基金】：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) 上海市科委资助项目(No.09DZ1907400)
【分类号】：R574.62

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