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中文摘要：
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（p〈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。
英文摘要：
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 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 t test. Analysis shows that the number of contractions and the motility indexes of healthy subjects are different from that of the patients with constipation （p〈0.05）, and they have statistically significance for distinguish the healthy subjects and the patients with constipation, but the average peak of peristalticwave 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.
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