{"title":"Multi-Agent Solution for a Cloud-based e-Health Application","authors":"Cosmin Toader, N. Popescu, Vlad Ciobanu","doi":"10.1109/ICSTCC.2018.8540683","DOIUrl":null,"url":null,"abstract":"Ubiquitous computing for innovative health-care systems, services and applications became more and more connected to Cloud systems and the applications required a scalable, reliable and secure environments, the containerized environments representing suitable solutions. In this paper we deal with the advantage of multi-agent systems and IoT for ehealth applications in scalable platforms. We investigated how Cloud-based model can be adopted. Thus, an architecture was designed for a medical data based intelligent system that processes the collected data and takes the right decisions based on them. This work also presents a drill down into the mobile client architecture focusing on the implementation of some of the simple periodic agents and combining them into complex periodic agents. The pulse-oximetry sensors were considered in this research. In this context, a heart rate simple periodic agent and a SpO2 simple periodic agent were developed. Our model considers that the data measured by the sensors will be used to monitor health status of a patient in real time or to discover threshold values for the data that can be further careful be analyzed and interpreted as a medical pre-diagnosis.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2018.8540683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Ubiquitous computing for innovative health-care systems, services and applications became more and more connected to Cloud systems and the applications required a scalable, reliable and secure environments, the containerized environments representing suitable solutions. In this paper we deal with the advantage of multi-agent systems and IoT for ehealth applications in scalable platforms. We investigated how Cloud-based model can be adopted. Thus, an architecture was designed for a medical data based intelligent system that processes the collected data and takes the right decisions based on them. This work also presents a drill down into the mobile client architecture focusing on the implementation of some of the simple periodic agents and combining them into complex periodic agents. The pulse-oximetry sensors were considered in this research. In this context, a heart rate simple periodic agent and a SpO2 simple periodic agent were developed. Our model considers that the data measured by the sensors will be used to monitor health status of a patient in real time or to discover threshold values for the data that can be further careful be analyzed and interpreted as a medical pre-diagnosis.