{"title":"实用的基于微控制器的图形心音紊乱模拟器","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":"{\"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}","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}
Practical microcontroller-based simulator of graphical heart sounds with disorders
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.