Bibin T Thomas, N. Binu, Alan Varghese, A. A. Peter, Gylson Thomas, Venugopalan Kurupath
{"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}
引用次数: 0
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.