{"title":"Practical microcontroller-based simulator of graphical heart sounds with disorders","authors":"M. E. Karar","doi":"10.1109/ACCS-PEIT.2017.8303060","DOIUrl":null,"url":null,"abstract":"Finding volunteer patients and/or getting ethical approval for experimental studies on human participants are generally serious problems in the field of biomedical engineering. Therefore, this paper presents a new microcontroller-based phonocardiogram (PCG) signals simulator. The developed simulator generates graphical representations of normal and three diseased heart sounds; namely mitral valve insufficiency, aortic stenosis, and ventricular septal defect. Discrete wavelet transform has been used to pre-process four heart sounds datasets, in order to denoise and decompose these PCG signals to the third approximated level. The developed PCG simulator was implemented using the Arduino Due® microcontroller. The simulated PCG signals are nearly equal to the real heart signals. Therefore, they are accepted to represent different scenarios of the heart sounds with disorders clinically. Graphical microcontroller-based heart sounds simulator has been successfully developed to support biomedical engineering education and research studies in the field of physiological signals analysis.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCS-PEIT.2017.8303060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Finding volunteer patients and/or getting ethical approval for experimental studies on human participants are generally serious problems in the field of biomedical engineering. Therefore, this paper presents a new microcontroller-based phonocardiogram (PCG) signals simulator. The developed simulator generates graphical representations of normal and three diseased heart sounds; namely mitral valve insufficiency, aortic stenosis, and ventricular septal defect. Discrete wavelet transform has been used to pre-process four heart sounds datasets, in order to denoise and decompose these PCG signals to the third approximated level. The developed PCG simulator was implemented using the Arduino Due® microcontroller. The simulated PCG signals are nearly equal to the real heart signals. Therefore, they are accepted to represent different scenarios of the heart sounds with disorders clinically. Graphical microcontroller-based heart sounds simulator has been successfully developed to support biomedical engineering education and research studies in the field of physiological signals analysis.
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实用的基于微控制器的图形心音紊乱模拟器
在生物医学工程领域,寻找志愿者患者和/或获得人类实验研究的伦理批准通常是一个严重的问题。为此,本文提出了一种基于单片机的心音图信号模拟器。所开发的仿真器可生成正常心音和三病心音的图形表示;即二尖瓣不全,主动脉狭窄和室间隔缺损。采用离散小波变换对四组心音数据集进行预处理,对这些心音信号进行降噪和分解至第三近似水平。所开发的PCG模拟器使用Arduino Due®微控制器实现。模拟的心电信号与真实的心电信号基本一致。因此,它们在临床上被认为代表了心音紊乱的不同情况。基于图形微控制器的心音模拟器已成功开发,以支持生物医学工程教育和生理信号分析领域的研究。
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