A Rapid Prototyping Matlab Based Design Tool of Wireless Sensor Nodes for Healthcare Applications

R. Rammouz, L. Labrak, N. Abouchi, J. Constantin, Y. Zaatar, D. Zaouk
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引用次数: 4

Abstract

Remote patient monitoring enables medical facilities and personnel to monitor patients outside of conventional clinical settings. This technology is greatly affected by the available energy sources. The limited energy supply is the bottleneck for measurement, data transmission, network connection and lifetime. Thus, efficient power consumption estimation in the early stage of the design would give the user an insight on its feasibility within medical constraints. In this paper, a power-oriented Matlab based design tool is proposed. It will help the user to make an energy aware design. In fact, it will enable him to determine the power consumption of each node based on a set of selected components, the daily routine of the patient and many other factors. It will also allow him to test multiple configurations prior to the physical implementation. This will minimize the time and financial impact of any modification. Furthermore, it will provide guidance to properly adapt the design within the requirements of the application: Choosing components, energy sources, etc. A validation is proposed via a physical implementation in order to compare the results obtained through simulation with practical measurements. Future works aim to take into account memory access operations, include several sensors operating within a network, and adapt the tool to other applications (smart buildings, environmental monitoring, etc.).
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基于Matlab的医疗保健应用无线传感器节点快速原型设计工具
远程患者监测使医疗机构和人员能够在常规临床环境之外监测患者。这项技术很大程度上受可用能源的影响。有限的能源供应是测量、数据传输、网络连接和使用寿命的瓶颈。因此,在设计的早期阶段进行有效的功耗估计将使用户了解其在医疗限制下的可行性。本文提出了一种基于Matlab的面向功率的设计工具。它将帮助用户进行节能设计。事实上,这将使他能够根据一组选定的组件、患者的日常生活和许多其他因素来确定每个节点的功耗。它还允许他在物理实现之前测试多个配置。这将最大限度地减少任何修改的时间和财务影响。此外,它将提供指导,以在应用程序的要求下适当地调整设计:选择组件,能源等。为了将仿真结果与实际测量结果进行比较,提出了通过物理实现进行验证的方法。未来的工作旨在考虑内存访问操作,包括在网络中运行的几个传感器,并使该工具适应其他应用(智能建筑,环境监测等)。
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