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A MULTIMEDIA CLOUD-BASED FRAMEWORK FOR CONSTANT MONITORING ON OBESE PATIENTS

机译:基于多媒体云的群落患者持续监测框架

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Obesity phenomenon has become a significant issue over the world. Obesity has various negative consequences that might impact not only the health but also the social and the economic issues. Current studies reveal the lack of patients' commitment to the doctors' instructions. In this paper, we propose a new cloud-based model with ultimate aim to monitor obese patients' health condition and behavior constantly under a real-time vision of the caregiver. The proposed model provides a technical method to record, disseminates, and share knowledge and awareness among patients and caregivers. This model utilizes wireless body sensor network devices to measure heart rate; mobile web-service as a middleware to process the data from/to cloud knowledge-base and a caregiver backend/dashboard for the real-time monitor. A live test demo of the model experimented on 55 subjects to check its applicability and cost-effectiveness. The results were promised and prove its ability to help overcoming this disease.
机译:肥胖现象已成为世界的重要问题。肥胖具有各种负面后果,不仅可能影响健康,也可能影响社会和经济问题。目前的研究揭示缺乏患者对医生指示的承诺。在本文中,我们提出了一种新的基于云的模型,最终目标是在护理人员的实时愿景下不断监测肥胖患者的健康状况和行为。该拟议的模型提供了一种技术方法,用于记录,传播和分享患者和护理人员的知识和意识。该模型利用无线体传感器网络设备来测量心率;移动网络服务作为中间件,以处理来自/云知识库的数据和用于实时监视器的Caregiver后端/仪表板。在55个受试者实验的模型的实时测试演示,以检查其适用性和成本效益。结果被承诺并证明了能够克服这种疾病的能力。

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