一种基于模糊c均值和物联网报警的心脏病检测算法

Kriti Gupta, P. Kaul, A. Kaur
{"title":"一种基于模糊c均值和物联网报警的心脏病检测算法","authors":"Kriti Gupta, P. Kaul, A. Kaur","doi":"10.1109/CIACT.2018.8480157","DOIUrl":null,"url":null,"abstract":"This paper presents a mathematical model forheart attack detection and alert system based on a list of factors using Internet of Things IoT devices namely, sensors, Arduino UNO board and GSM (Global System for Mobile Communications)module. This robust mathematical model helps in preventing a patient from getting sudden heart attack by sending anotificationontheirmobileintheformofmessageoremail. This paper gives a brief study about the parameters on which heart attack depends and the values that are recommended by a doctor for a healthy body. The comparative analysis with the existing technique indicates that the proposed algorithm outperforms in terms of accurate detection of heart attack in human beings. Results obtained show that the proposed algorithm is competent enough yielding an accuracy of 82%.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An Efficient Algorithm for Heart Attack Detection using Fuzzy C-means and Alert using IoT\",\"authors\":\"Kriti Gupta, P. Kaul, A. Kaur\",\"doi\":\"10.1109/CIACT.2018.8480157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a mathematical model forheart attack detection and alert system based on a list of factors using Internet of Things IoT devices namely, sensors, Arduino UNO board and GSM (Global System for Mobile Communications)module. This robust mathematical model helps in preventing a patient from getting sudden heart attack by sending anotificationontheirmobileintheformofmessageoremail. This paper gives a brief study about the parameters on which heart attack depends and the values that are recommended by a doctor for a healthy body. The comparative analysis with the existing technique indicates that the proposed algorithm outperforms in terms of accurate detection of heart attack in human beings. Results obtained show that the proposed algorithm is competent enough yielding an accuracy of 82%.\",\"PeriodicalId\":358555,\"journal\":{\"name\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2018.8480157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2018.8480157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文提出了一个基于物联网物联网设备(即传感器、Arduino UNO板和GSM(全球移动通信系统)模块)的一系列因素的心脏病发作检测和警报系统的数学模型。这个强大的数学模型可以通过向患者的手机发送通知来帮助他们预防突发心脏病。本文简要介绍了心脏病发作所依赖的参数和医生为健康身体所推荐的值。与现有技术的对比分析表明,该算法在人类心脏病发作的准确检测方面优于现有技术。结果表明,该算法具有足够的能力,准确率达到82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Algorithm for Heart Attack Detection using Fuzzy C-means and Alert using IoT
This paper presents a mathematical model forheart attack detection and alert system based on a list of factors using Internet of Things IoT devices namely, sensors, Arduino UNO board and GSM (Global System for Mobile Communications)module. This robust mathematical model helps in preventing a patient from getting sudden heart attack by sending anotificationontheirmobileintheformofmessageoremail. This paper gives a brief study about the parameters on which heart attack depends and the values that are recommended by a doctor for a healthy body. The comparative analysis with the existing technique indicates that the proposed algorithm outperforms in terms of accurate detection of heart attack in human beings. Results obtained show that the proposed algorithm is competent enough yielding an accuracy of 82%.
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:604180095
Book学术官方微信