iCare:智能医疗中的远程心脏监测智能系统

Aiguo Wang, Liang Zhao, Xianhong Wu
{"title":"iCare:智能医疗中的远程心脏监测智能系统","authors":"Aiguo Wang, Liang Zhao, Xianhong Wu","doi":"10.1109/ICCE-Taiwan55306.2022.9869226","DOIUrl":null,"url":null,"abstract":"Heart disease poses a great threat to the health of an individual and even leads to sudden cardiac death, and hence a ubiquitous and portable tool for early detection and warning is of significant value. Benefiting from the speedy advance of sensor technology, artificial intelligence, and internet of things, we have developed an intelligent system that can remotely collect heart sounds, process the signals, and predict common cardiac diseases with the trained machine learning model. In this study, we detail our designed smart stethoscope and show the system architecture and its components. Besides, initial results demonstrate its power.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"iCare: An Intelligent System for Remote Cardiac Monitoring in Smart Healthcare\",\"authors\":\"Aiguo Wang, Liang Zhao, Xianhong Wu\",\"doi\":\"10.1109/ICCE-Taiwan55306.2022.9869226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heart disease poses a great threat to the health of an individual and even leads to sudden cardiac death, and hence a ubiquitous and portable tool for early detection and warning is of significant value. Benefiting from the speedy advance of sensor technology, artificial intelligence, and internet of things, we have developed an intelligent system that can remotely collect heart sounds, process the signals, and predict common cardiac diseases with the trained machine learning model. In this study, we detail our designed smart stethoscope and show the system architecture and its components. Besides, initial results demonstrate its power.\",\"PeriodicalId\":164671,\"journal\":{\"name\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869226","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

心脏病对个人健康构成极大威胁,甚至会导致心源性猝死,因此一种无处不在的便携式早期检测和预警工具具有重要价值。得益于传感器技术、人工智能和物联网的快速发展,我们开发了一种智能系统,可以远程收集心音,处理信号,并通过训练有素的机器学习模型预测常见的心脏病。在本研究中,我们详细介绍了我们设计的智能听诊器,并展示了系统架构及其组成。此外,初步结果证明了它的力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
iCare: An Intelligent System for Remote Cardiac Monitoring in Smart Healthcare
Heart disease poses a great threat to the health of an individual and even leads to sudden cardiac death, and hence a ubiquitous and portable tool for early detection and warning is of significant value. Benefiting from the speedy advance of sensor technology, artificial intelligence, and internet of things, we have developed an intelligent system that can remotely collect heart sounds, process the signals, and predict common cardiac diseases with the trained machine learning model. In this study, we detail our designed smart stethoscope and show the system architecture and its components. Besides, initial results demonstrate its power.
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
期刊最新文献
Dynamic Thermal-Predicted Workload Movement with Three-Dimensional DRAM-RRAM Hybrid Memories for Convolutional Neural Network Applications Performance Evaluation of Fault-Tolerant Routing Methods Using Parallel Programs Down-Sampling Dark Channel Prior of Airlight Estimation for Low Complexity Image Dehazing Chip Design Image Confusion Applied to Industrial Defect Detection System On Multimodal Semantic Consistency Detection of News Articles with Image Caption Pairs
×
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