基于圆形麦克风阵列的人体声音径向滤波听诊器

Mudasir Ahmad Sheikh, L. Kumar, M. Beg
{"title":"基于圆形麦克风阵列的人体声音径向滤波听诊器","authors":"Mudasir Ahmad Sheikh, L. Kumar, M. Beg","doi":"10.1109/ICPECA47973.2019.8975663","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of extraction of body sounds with a stethoscope having a single mechanical, less acoustic diaphragm by introducing a highly acoustic circular microphone array. This circular microphone array due to its exclusive advantages like signal enhancement, beamforming and steenng property, is capable of receiving sound signals from a desired direction and attenuates all other signals from other directions. In this paper, heart and lung are assumed as point sources, with a point on the sternum and just above its apex as a reference point to define the sphencal coordinates (r, $\\theta,\\ \\phi$) of heait and lung sound.This paper uses Multiple Signal Classification (MUSIC) algorithm for Direction of Arrival (DOA) estimation of heart and lung sound sources. For radial filtenng or extraction of desired sound (say heart sound) from a mixed signal of heart and lung sound, an adaptive beamformer, like Linearly Constrained Mimmum Variance (LCMV) beamformer is adopted. Real-time data is received by Umform Circular Array (UCA) and then recorded by an adobe audition software in a noise-free enviromnent. Results are simulated by Matlab. Though the results are obtained for heart and lung sound, but it can be extended to extract all other body sounds like bowel sounds, fetus sound etc. and hence leads to develop a universal body sound analyzer.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"43 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Circular Microphone Array Based Stethoscope for Radial Filtering of Body Sounds\",\"authors\":\"Mudasir Ahmad Sheikh, L. Kumar, M. Beg\",\"doi\":\"10.1109/ICPECA47973.2019.8975663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of extraction of body sounds with a stethoscope having a single mechanical, less acoustic diaphragm by introducing a highly acoustic circular microphone array. This circular microphone array due to its exclusive advantages like signal enhancement, beamforming and steenng property, is capable of receiving sound signals from a desired direction and attenuates all other signals from other directions. In this paper, heart and lung are assumed as point sources, with a point on the sternum and just above its apex as a reference point to define the sphencal coordinates (r, $\\\\theta,\\\\ \\\\phi$) of heait and lung sound.This paper uses Multiple Signal Classification (MUSIC) algorithm for Direction of Arrival (DOA) estimation of heart and lung sound sources. For radial filtenng or extraction of desired sound (say heart sound) from a mixed signal of heart and lung sound, an adaptive beamformer, like Linearly Constrained Mimmum Variance (LCMV) beamformer is adopted. Real-time data is received by Umform Circular Array (UCA) and then recorded by an adobe audition software in a noise-free enviromnent. Results are simulated by Matlab. Though the results are obtained for heart and lung sound, but it can be extended to extract all other body sounds like bowel sounds, fetus sound etc. and hence leads to develop a universal body sound analyzer.\",\"PeriodicalId\":6761,\"journal\":{\"name\":\"2019 International Conference on Power Electronics, Control and Automation (ICPECA)\",\"volume\":\"43 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Power Electronics, Control and Automation (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA47973.2019.8975663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA47973.2019.8975663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文通过引入一种高声学圆形麦克风阵列,解决了用具有单一机械、低声学隔膜的听诊器提取人体声音的问题。这种圆形麦克风阵列由于其信号增强、波束形成和收听特性等独特优势,能够接收来自所需方向的声音信号,并衰减来自其他方向的所有其他信号。本文假设心脏和肺为点源,胸骨上的一个点在其顶点正上方作为参考点来定义心脏和肺声的球面坐标(r, $\theta,\ \phi$)。本文采用多信号分类(MUSIC)算法对心肺声源的到达方向(DOA)进行估计。对于从心肺声混合信号中进行径向滤波或提取所需声音(如心音),采用线性约束最小方差波束形成器等自适应波束形成器。实时数据由统一圆形阵列(UCA)接收,然后由土坯试听软件在无噪声环境下录制。用Matlab对结果进行了仿真。虽然得到的结果是心脏和肺的声音,但它可以扩展到提取所有其他身体的声音,如肠音,胎儿的声音等,从而导致开发一个通用的身体声音分析仪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circular Microphone Array Based Stethoscope for Radial Filtering of Body Sounds
This paper addresses the problem of extraction of body sounds with a stethoscope having a single mechanical, less acoustic diaphragm by introducing a highly acoustic circular microphone array. This circular microphone array due to its exclusive advantages like signal enhancement, beamforming and steenng property, is capable of receiving sound signals from a desired direction and attenuates all other signals from other directions. In this paper, heart and lung are assumed as point sources, with a point on the sternum and just above its apex as a reference point to define the sphencal coordinates (r, $\theta,\ \phi$) of heait and lung sound.This paper uses Multiple Signal Classification (MUSIC) algorithm for Direction of Arrival (DOA) estimation of heart and lung sound sources. For radial filtenng or extraction of desired sound (say heart sound) from a mixed signal of heart and lung sound, an adaptive beamformer, like Linearly Constrained Mimmum Variance (LCMV) beamformer is adopted. Real-time data is received by Umform Circular Array (UCA) and then recorded by an adobe audition software in a noise-free enviromnent. Results are simulated by Matlab. Though the results are obtained for heart and lung sound, but it can be extended to extract all other body sounds like bowel sounds, fetus sound etc. and hence leads to develop a universal body sound analyzer.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信