{"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}
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%.