R. Jafari, A. Encarnacao, Azad Zahoory, F. Dabiri, H. Noshadi, M. Sarrafzadeh
{"title":"Wireless sensor networks for health monitoring","authors":"R. Jafari, A. Encarnacao, Azad Zahoory, F. Dabiri, H. Noshadi, M. Sarrafzadeh","doi":"10.1109/MOBIQUITOUS.2005.65","DOIUrl":null,"url":null,"abstract":"We propose a platform for health monitoring using wireless sensor networks. Our platform is a new architecture called CustoMed that will reduce the customization and reconfiguration time for medical systems that use reconfigurable embedded systems. This architecture is a network enabled system that supports various wearable sensors and contains on-board general computing capabilities for executing individually tailored event detection, alerts, and network communication with various medical informatics services. The customization of such system with a large number of \"med nodes\" is extremely fast even by non-engineering staff. In this paper, we present the architecture of such device along with experimental analysis that evaluates the performance of such system.","PeriodicalId":129488,"journal":{"name":"The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"140","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MOBIQUITOUS.2005.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 140
Abstract
We propose a platform for health monitoring using wireless sensor networks. Our platform is a new architecture called CustoMed that will reduce the customization and reconfiguration time for medical systems that use reconfigurable embedded systems. This architecture is a network enabled system that supports various wearable sensors and contains on-board general computing capabilities for executing individually tailored event detection, alerts, and network communication with various medical informatics services. The customization of such system with a large number of "med nodes" is extremely fast even by non-engineering staff. In this paper, we present the architecture of such device along with experimental analysis that evaluates the performance of such system.