Suppr超能文献

基于独立成分分析的结肠压力数据处理

Colonic pressure data processing based on independent component analysis.

作者信息

Pan C, Tian S P, Yan G Z, Wang K D

机构信息

Department of Information Measurement Technology and Instruments, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

J Med Eng Technol. 2010 Oct-Nov;34(7-8):415-21. doi: 10.3109/03091902.2010.514973. Epub 2010 Sep 14.

Abstract

The Colonic manometry is an important technique to evaluate human colonic motor functions, which are critical for doctors to understand the pathology of intestinal diseases like slow transit constipation (STC) and colonic inertia (CI). However, in the obtained pressure signals, several patterns of colonic motor activities as well as noises mixed together, which made it difficult to observe the information people really needed. In this article, a new method was proposed to extract patterns of colonic motility from the mixed signals, so that researchers could study them thoroughly. Colonic pressure recordings from 26 volunteers were obtained by the water-perfused manometry catheters. Then independent component analysis (ICA) was introduced, which successfully separated colonic motility patterns and noises into four independent components. And according to the rhythm of contractions examined by ICA, subjects' colonic motility could be divided into three types: regular rhythm (12 subjects), slow rhythm (8 subjects) and disordered (6 subjects), which exactly accorded with their original diagnosis.

摘要

结肠测压是评估人体结肠运动功能的一项重要技术,而结肠运动功能对于医生了解诸如慢传输型便秘(STC)和结肠惰性(CI)等肠道疾病的病理状况至关重要。然而,在获取的压力信号中,多种结肠运动活动模式与噪声混合在一起,这使得难以观察到人们真正需要的信息。在本文中,提出了一种从混合信号中提取结肠运动模式的新方法,以便研究人员能够对其进行深入研究。通过水灌注测压导管获取了26名志愿者的结肠压力记录。然后引入独立成分分析(ICA),其成功地将结肠运动模式和噪声分离为四个独立成分。并且根据ICA检测到的收缩节律,受试者的结肠运动可分为三种类型:规则节律(12名受试者)、缓慢节律(8名受试者)和紊乱(6名受试者),这与他们原来的诊断完全相符。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验