M. Harini, K. Bhairavi, R. Gopicharan, K. Ganapathy, V. Vaidehi
{"title":"云中的医疗保健传感器虚拟化","authors":"M. Harini, K. Bhairavi, R. Gopicharan, K. Ganapathy, V. Vaidehi","doi":"10.1109/ICRTIT.2013.6844279","DOIUrl":null,"url":null,"abstract":"Web enablement of sensors is found to improve healthcare applications. However usage of too many physical sensors are limiting the mobility of the patients and has serious drawbacks like huge power consumption, heavy weight, health hazards and high degree of discomfort. To overcome these problems, this paper proposed a virtual sensor that computes the blood pressure of patients using a limited number of physical sensors. The sensor data are ported to cloud for achieving scalability, elasticity, on-demand service provision and availability. The developed virtual sensor has shown an accuracy of about 95% when tested on patients with normal vital sign parameters.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Virtualization of healthcare sensors in cloud\",\"authors\":\"M. Harini, K. Bhairavi, R. Gopicharan, K. Ganapathy, V. Vaidehi\",\"doi\":\"10.1109/ICRTIT.2013.6844279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web enablement of sensors is found to improve healthcare applications. However usage of too many physical sensors are limiting the mobility of the patients and has serious drawbacks like huge power consumption, heavy weight, health hazards and high degree of discomfort. To overcome these problems, this paper proposed a virtual sensor that computes the blood pressure of patients using a limited number of physical sensors. The sensor data are ported to cloud for achieving scalability, elasticity, on-demand service provision and availability. The developed virtual sensor has shown an accuracy of about 95% when tested on patients with normal vital sign parameters.\",\"PeriodicalId\":113531,\"journal\":{\"name\":\"2013 International Conference on Recent Trends in Information Technology (ICRTIT)\",\"volume\":\"239 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Recent Trends in Information Technology (ICRTIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRTIT.2013.6844279\",\"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 International Conference on Recent Trends in Information Technology (ICRTIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2013.6844279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Web enablement of sensors is found to improve healthcare applications. However usage of too many physical sensors are limiting the mobility of the patients and has serious drawbacks like huge power consumption, heavy weight, health hazards and high degree of discomfort. To overcome these problems, this paper proposed a virtual sensor that computes the blood pressure of patients using a limited number of physical sensors. The sensor data are ported to cloud for achieving scalability, elasticity, on-demand service provision and availability. The developed virtual sensor has shown an accuracy of about 95% when tested on patients with normal vital sign parameters.