{"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}
引用次数: 2
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.