{"title":"基于神经网络的心血管疾病分类检测设计综述","authors":"Neerajkumar S. Sathawane, U. Gokhale.","doi":"10.1109/ICETET-SIP-1946815.2019.9092151","DOIUrl":null,"url":null,"abstract":"In today’s accelerated world wherever the individuals are a lot of targeted at work and not deep argus-eyed towards their health. Our cities have become a lot of vulnerable to technology and villages are getting connected thereto however health facilities aren't reading the pace of technical development in urban and rural areas of the country. The expenses of treatment are out of allowing destitute and poverty-stricken people, therefore, we tend to are attempting to make a system with simple aim of achieving low budget high-quality medical facility to all or any kith and kin in their budget, and that we can reach it by the utilization of high-end technology that is instantly accessible and straightforward to use, Location won't be an issue any longer thanks to use of high-end technology and if needed AI. The system itself can diagnose the heart-related downside and at a similar time, it'll capture the ECG and send each the parts to end-user for designation.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Survey on Design of Cardiovascular Disease Classification and Detection using Neural Network\",\"authors\":\"Neerajkumar S. Sathawane, U. Gokhale.\",\"doi\":\"10.1109/ICETET-SIP-1946815.2019.9092151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today’s accelerated world wherever the individuals are a lot of targeted at work and not deep argus-eyed towards their health. Our cities have become a lot of vulnerable to technology and villages are getting connected thereto however health facilities aren't reading the pace of technical development in urban and rural areas of the country. The expenses of treatment are out of allowing destitute and poverty-stricken people, therefore, we tend to are attempting to make a system with simple aim of achieving low budget high-quality medical facility to all or any kith and kin in their budget, and that we can reach it by the utilization of high-end technology that is instantly accessible and straightforward to use, Location won't be an issue any longer thanks to use of high-end technology and if needed AI. The system itself can diagnose the heart-related downside and at a similar time, it'll capture the ECG and send each the parts to end-user for designation.\",\"PeriodicalId\":200787,\"journal\":{\"name\":\"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Survey on Design of Cardiovascular Disease Classification and Detection using Neural Network
In today’s accelerated world wherever the individuals are a lot of targeted at work and not deep argus-eyed towards their health. Our cities have become a lot of vulnerable to technology and villages are getting connected thereto however health facilities aren't reading the pace of technical development in urban and rural areas of the country. The expenses of treatment are out of allowing destitute and poverty-stricken people, therefore, we tend to are attempting to make a system with simple aim of achieving low budget high-quality medical facility to all or any kith and kin in their budget, and that we can reach it by the utilization of high-end technology that is instantly accessible and straightforward to use, Location won't be an issue any longer thanks to use of high-end technology and if needed AI. The system itself can diagnose the heart-related downside and at a similar time, it'll capture the ECG and send each the parts to end-user for designation.