{"title":"Integrating wireless body and ambient sensors into a hybrid femtocell network for home monitoring","authors":"A. Maciuca, G. Stamatescu, D. Popescu, M. Strutu","doi":"10.1109/IcConSCS.2013.6632019","DOIUrl":null,"url":null,"abstract":"The current paper proposes a hybrid sensor network for indoor monitoring and discusses the way both body and ambient wireless sensors are integrated into this network. A multi-level system architecture is described which relays acquired data and alerts to relevant third parties. Its main purpose is to build a system that monitors the house of a patient and is capable of collecting data from all the nodes. The system contains ambient sensors that monitor temperature, humidity, pressure and light. Beside the ambient sensors, the network also contains body sensors situated on the patient that monitor different health parameters like temperature, heart rate and motion capture. Efficient correlation among the two data-sets can lead to rapid response in case of an emergency with a high degree of autonomy and independent living for the patient.","PeriodicalId":265358,"journal":{"name":"2nd International Conference on Systems and Computer Science","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd International Conference on Systems and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IcConSCS.2013.6632019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The current paper proposes a hybrid sensor network for indoor monitoring and discusses the way both body and ambient wireless sensors are integrated into this network. A multi-level system architecture is described which relays acquired data and alerts to relevant third parties. Its main purpose is to build a system that monitors the house of a patient and is capable of collecting data from all the nodes. The system contains ambient sensors that monitor temperature, humidity, pressure and light. Beside the ambient sensors, the network also contains body sensors situated on the patient that monitor different health parameters like temperature, heart rate and motion capture. Efficient correlation among the two data-sets can lead to rapid response in case of an emergency with a high degree of autonomy and independent living for the patient.
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