{"title":"用于预防保健的远程心脏监测系统","authors":"Keunjoo Kwon, Heasoo Hwang, Hyoa Kang, Kyoung-Gu Woo, Kyuseok Shim","doi":"10.1109/ICCE.2013.6486857","DOIUrl":null,"url":null,"abstract":"Remote monitoring of heart disease patients has been shown to be effective for diagnosis and detection of arrhythmias. We propose a remote cardiac monitoring system for preventive care by developing a decision support system with personalized parameters and an algorithm to predict forthcoming paroxysmal atrial fibrillations. The system consists of several physiological measuring devices, mobile gateways, point-of-care devices, and a monitoring server. The proposed prediction algorithm shows 87.5% accuracy.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"23 1","pages":"197-200"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A remote cardiac monitoring system for preventive care\",\"authors\":\"Keunjoo Kwon, Heasoo Hwang, Hyoa Kang, Kyoung-Gu Woo, Kyuseok Shim\",\"doi\":\"10.1109/ICCE.2013.6486857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote monitoring of heart disease patients has been shown to be effective for diagnosis and detection of arrhythmias. We propose a remote cardiac monitoring system for preventive care by developing a decision support system with personalized parameters and an algorithm to predict forthcoming paroxysmal atrial fibrillations. The system consists of several physiological measuring devices, mobile gateways, point-of-care devices, and a monitoring server. The proposed prediction algorithm shows 87.5% accuracy.\",\"PeriodicalId\":6432,\"journal\":{\"name\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"23 1\",\"pages\":\"197-200\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2013.6486857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6486857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A remote cardiac monitoring system for preventive care
Remote monitoring of heart disease patients has been shown to be effective for diagnosis and detection of arrhythmias. We propose a remote cardiac monitoring system for preventive care by developing a decision support system with personalized parameters and an algorithm to predict forthcoming paroxysmal atrial fibrillations. The system consists of several physiological measuring devices, mobile gateways, point-of-care devices, and a monitoring server. The proposed prediction algorithm shows 87.5% accuracy.