基于人工智能的学童心音图筛查

Bibin T Thomas, N. Binu, Alan Varghese, A. A. Peter, Gylson Thomas, Venugopalan Kurupath
{"title":"基于人工智能的学童心音图筛查","authors":"Bibin T Thomas, N. Binu, Alan Varghese, A. A. Peter, Gylson Thomas, Venugopalan Kurupath","doi":"10.1109/ICFCR50903.2020.9249983","DOIUrl":null,"url":null,"abstract":"Diagnosis/ prediction of cardiovascular diseases at the early stages in a cardiac patient is of great importance because monitoring and treatment will be easy at this stage rather than at the elderly stage. As far as under developed countries are concerned, it is practically impossible for physicians to check the cardiovascular status of all children of school age. With this intention, a phonocardiogram (PCG) set up along with an Artificial Intelligence (AI) based MATLAB program for automatic diagnosis of cardiac status, i.e. either normal or abnormal, has been developed and tested with the project group members themselves and results are disseminated. Due to the safety issues related to COVID-19, testing with School children is under pending.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Based Phonocardiogram Proposed for Cardiac Screening of School Children\",\"authors\":\"Bibin T Thomas, N. Binu, Alan Varghese, A. A. Peter, Gylson Thomas, Venugopalan Kurupath\",\"doi\":\"10.1109/ICFCR50903.2020.9249983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diagnosis/ prediction of cardiovascular diseases at the early stages in a cardiac patient is of great importance because monitoring and treatment will be easy at this stage rather than at the elderly stage. As far as under developed countries are concerned, it is practically impossible for physicians to check the cardiovascular status of all children of school age. With this intention, a phonocardiogram (PCG) set up along with an Artificial Intelligence (AI) based MATLAB program for automatic diagnosis of cardiac status, i.e. either normal or abnormal, has been developed and tested with the project group members themselves and results are disseminated. Due to the safety issues related to COVID-19, testing with School children is under pending.\",\"PeriodicalId\":165947,\"journal\":{\"name\":\"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFCR50903.2020.9249983\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFCR50903.2020.9249983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在心脏病患者的早期阶段诊断/预测心血管疾病是非常重要的,因为在这个阶段比在老年阶段更容易监测和治疗。就欠发达国家而言,医生几乎不可能检查所有学龄儿童的心血管状况。为此,项目组成员自行开发并测试了一个心音图(PCG)和一个基于人工智能(AI)的MATLAB程序,用于自动诊断心脏状态(即正常或异常),并发布了结果。由于与COVID-19相关的安全问题,正在对学龄儿童进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Based Phonocardiogram Proposed for Cardiac Screening of School Children
Diagnosis/ prediction of cardiovascular diseases at the early stages in a cardiac patient is of great importance because monitoring and treatment will be easy at this stage rather than at the elderly stage. As far as under developed countries are concerned, it is practically impossible for physicians to check the cardiovascular status of all children of school age. With this intention, a phonocardiogram (PCG) set up along with an Artificial Intelligence (AI) based MATLAB program for automatic diagnosis of cardiac status, i.e. either normal or abnormal, has been developed and tested with the project group members themselves and results are disseminated. Due to the safety issues related to COVID-19, testing with School children is under pending.
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