Pattern Detection in Heart Sound Signal Based on Android Application

P. Oktivasari, Fikri Vallian, Riandini
{"title":"Pattern Detection in Heart Sound Signal Based on Android Application","authors":"P. Oktivasari, Fikri Vallian, Riandini","doi":"10.1109/IC2IE50715.2020.9274627","DOIUrl":null,"url":null,"abstract":"The heart sound detector using an android-based electronic stethoscope is a development of an acoustic stethoscope. This tool converts the sound of the heartbeat into an electrical signal by wirelessly displaying the first heart sound signal S1 (Lub), and the second heart sound signal S2 (Dub) on the android application. A low-cost electronic stethoscope consisting of a condenser microphone that converts the sound of the heartbeat captured by the stethoscope into a heartbeat signal, a signal conditioning circuit that corrects the detected signal. The output signal from the conditioner circuit is processed by the ADC on the Arduino, which will then be sent to Android using Bluetooth. The open source software used to display heart rate detection results is Android Studio. S1 and S2 heart sound signal patterns have been recorded in real-time with intervals of 2-3 seconds duration, and no time delay. The resulting signals can be saved as graphs and WAV files.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2IE50715.2020.9274627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The heart sound detector using an android-based electronic stethoscope is a development of an acoustic stethoscope. This tool converts the sound of the heartbeat into an electrical signal by wirelessly displaying the first heart sound signal S1 (Lub), and the second heart sound signal S2 (Dub) on the android application. A low-cost electronic stethoscope consisting of a condenser microphone that converts the sound of the heartbeat captured by the stethoscope into a heartbeat signal, a signal conditioning circuit that corrects the detected signal. The output signal from the conditioner circuit is processed by the ADC on the Arduino, which will then be sent to Android using Bluetooth. The open source software used to display heart rate detection results is Android Studio. S1 and S2 heart sound signal patterns have been recorded in real-time with intervals of 2-3 seconds duration, and no time delay. The resulting signals can be saved as graphs and WAV files.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Android应用的心音信号模式检测
使用基于机器人的电子听诊器的心音检测器是声学听诊器的一种发展。该工具通过在android应用程序上无线显示第一心音信号S1 (Lub)和第二心音信号S2 (Dub),将心跳的声音转换为电信号。一种低成本的电子听诊器,由一个电容式麦克风组成,它将听诊器捕捉到的心跳声音转换成心跳信号,信号调理电路校正检测到的信号。调理电路的输出信号由Arduino上的ADC处理,然后通过蓝牙发送给Android。显示心率检测结果的开源软件是Android Studio。实时记录S1和S2心音信号模式,间隔时间为2-3秒,无时间延迟。产生的信号可以保存为图形和WAV文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Agile-Based Requirement Challenges of Government Outsourcing Project: A Case Study Investigation of Job Satisfaction and Worker Performance on Digital Business Company IC2IE 2020 Index Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks Thyroid Nodules Stratification Based on Orientation Characteristics Using Machine Learning Approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1