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一种用于体声分析和独特电子听诊器设计的模糊专家系统(HILSA套件的开发)

A fuzzy expert system design for analysis of body sounds and design of an unique electronic stethoscope (development of HILSA kit).

作者信息

Kumar B Hema

机构信息

Department of Biomedical Engineering, Rajiv Gandhi College of Engineering and Technology, Kirumabakkam, Pondicherry, India.

出版信息

Biosens Bioelectron. 2007 Jan 15;22(6):1121-5. doi: 10.1016/j.bios.2006.04.012. Epub 2006 Jun 2.

DOI:10.1016/j.bios.2006.04.012
PMID:16735115
Abstract

In this paper we have developed a fuzzy expert system (FES) for different sounds produced by different organs in the human body. We have also constructed a unique electronic stethoscope. The human body sounds produced by different organs like heart, lungs and intestine were analyzed. The doctor provided the data and relation between variables chosen for each organ sound. Using this information a rule base for fuzzy expert system was built. Such FES helps the medical doctor in arriving at appropriate decision in different difficult clinical situations. The examination of body sounds was done using conventional stethoscope (CS) and electronic stethoscope (ES), which was uniquely designed for this study. We have found that unique stethoscope developed by us is far superior to conventional stethoscope by its overall performance.

摘要

在本文中,我们开发了一个用于分析人体不同器官发出的不同声音的模糊专家系统(FES)。我们还构建了一种独特的电子听诊器。对心脏、肺和肠道等不同器官发出的人体声音进行了分析。医生提供了针对每个器官声音所选择的变量的数据及关系。利用这些信息建立了模糊专家系统的规则库。这种模糊专家系统有助于医生在不同困难的临床情况下做出恰当的决策。使用传统听诊器(CS)和专门为该研究设计的电子听诊器(ES)对人体声音进行了检查。我们发现,我们开发的独特听诊器在整体性能上远优于传统听诊器。

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引用本文的文献

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Clin Transl Gastroenterol. 2019 Mar;10(3):e00017. doi: 10.14309/ctg.0000000000000017.
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Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.医学领域中专家系统和神经网络的开发与应用:益处与挑战综述
J Med Syst. 2014 Sep;38(9):110. doi: 10.1007/s10916-014-0110-5. Epub 2014 Jul 16.