| 人体全消化道动力检测信号自动分析处理方法研究 |
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| 引用本文： | 姜萍萍,颜国正. 人体全消化道动力检测信号自动分析处理方法研究[J]. 生物医学工程学杂志, 2006, 23(3): 467-472 |
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| 作者姓名： | 姜萍萍 颜国正 |
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| 作者单位： | 上海交通大学,电子信息学院,上海,200030 |
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| 基金项目： | 国家自然科学基金;国家科技攻关项目 |
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| 摘 要： | 消化道腔内压力检测是胃肠动力疾病诊断和胃肠动力学研究的一种主要手段。利用MEMS技术，我们开发了人体全消化道微型智能介入式诊查系统，能在正常生理状态下对全消化道压力、pH值进行长时间连续监测，解决了长期困扰医学界的压力信号的获取问题。本文着重讨论了系统的软件部分，即建立信号自动分析处理系统的必要性和方法。该系统主要实现信号的预处理、信号特征值的提取和优化、样本的分类功能，从而使测试结果可以真正应用于辅助医学诊断和研究，完善整个系统的功用。
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| 关 键 词： | 微型介入式诊查系统 数据平滑 主成分分析 自组织特征映射网络 |
| 收稿时间： | 2004-02-25 |
| 修稿时间： | 2004-02-252004-05-18 |
Researches on Automatic Analyzing System of the Whole Gastrointestinal Motility Recordings |
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| Jiang Pingping,Yan Guozheng. Researches on Automatic Analyzing System of the Whole Gastrointestinal Motility Recordings[J]. Journal of biomedical engineering, 2006, 23(3): 467-472 |
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| Authors: | Jiang Pingping Yan Guozheng |
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| Affiliation: | Department of Information Measurement Technology and Instrument, Shanghai Jiaotong University,Shanghai 200030,China |
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| Abstract: | Many diseases of gastrointestinal tract have close relation to the changes in gastrointestinal(GI) motility.Making use of the technique of MEMS,we developed a micro-interposed system to monitor the motility and pH value of the whole GI tract under normal physical state.This paper focuses on an automatic analysis of the acquired signal to draw conclusions for aiding diagnosis of diseases.The techniques of smoothing signal,removing singular value,feature extraction and selection as well as classification of normal and abnormal samples are discussed in details.These techniques provide a comprehensive method for analyzing long-term motility recordings which will complete the function of the in vivo monitoring system and serve for medical applications. |
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| Keywords: | Micro electro-mechanical system(MEMS) Signal smoothing Principal components analysis Self-organizing feature map(SOFM) |
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