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The Design of Cost Efficient Health Monitoring System based on Internet of Things and Big Data

机译:基于事物互联网和大数据的成本高效健康监测系统设计

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Nowadays, penetration of the Internet of Things (IoT) technology was spread in various domains. One of the promising business domains of IoT adoption is healthcare. With the vast amount and variance of smart wearable device based on IoT principles on the market, a consumer could easily find equipment to track their health status (i.e., blood pressure, heart rate, body temperature, etc.). But, those devices have two drawbacks. First, the significant cost of investment was required for implementing those devices on a massive scale (i.e., patient monitoring in a hospital). The second drawback is the lack of platform which can efficiently manage multiple devices concerning storing and organizing the data generated by those wearable devices. In this paper, we introduced a cost-efficient design of healthcare monitoring system based on IoT technology. This design proposed holistic approach from providing less expensive hardware for sensing purposes and a sub-platform for managing acquired data from sensing activity based on big data technology.
机译:如今,物联网(物联网)技术的渗透在各个领域中。 IOT采用的有希望的商业领域之一是医疗保健。通过基于IOT原则在市场上的智能可穿戴设备的大量和方差,消费者可以轻松找到追踪其健康状况的设备(即血压,心率,体温等)。但是,这些设备有两个缺点。首先,在大规模规模上实施这些装置所需的大量投资成本(即医院的患者监测)。第二个缺点是缺乏平台,其可以有效地管理有关存储和组织由那些可穿戴设备产生的数据的多个设备。在本文中,我们介绍了基于物联网技术的医疗监测系统成本效益设计。这种设计提出了用于提供更昂贵的硬件,用于传感目的,以及用于管理基于大数据技术的感测活动的子平台。

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