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首页> 外文期刊>Information Technology in Biomedicine, IEEE Transactions on >A Telehealth Architecture for Networked Embedded Systems: A Case Study in In Vivo Health Monitoring
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A Telehealth Architecture for Networked Embedded Systems: A Case Study in In Vivo Health Monitoring

机译:网络嵌入式系统的远程医疗体系结构:体内健康监测的案例研究

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摘要

The improvement in processor performance through continuous breakthroughs in transistor technology has resulted in the proliferation of lightweight embedded systems. Advances in wireless technology and embedded systems have enabled remote healthcare and telemedicine. While medical examinations could previously extract only localized symptoms through snapshots, now continuous monitoring can discretely analyze how a patient's lifestyle affects his/her physiological conditions and if additional symptoms occur under various stimuli. We demonstrate how medical applications in particular benefit from a hierarchical networking scheme that will improve the quantity and quality of ubiquitous data collection. Our Telehealth networking infrastructure provides flexibility in terms of functionality and the type of applications that it supports. We specifically present a case study that demonstrates the effectiveness of our networked embedded infrastructure in an in vivo pressure application. Experimental results of the in vivo system demonstrate how it can wirelessly transmit pressure readings measuring from 0 to 1.5 lbf/in2 with an accuracy of 0.02 lbf/in2. The challenges in biocompatible packaging, transducer drift, power management, and in vivo signal transmission are also discussed. This research brings researchers a step closer to continuous, real-time systemic monitoring that will allow one to analyze the dynamic human physiology.
机译:通过晶体管技术的不断突破,处理器性能的提高已导致轻量级嵌入式系统的普及。无线技术和嵌入式系统的进步使远程医疗保健和远程医疗成为可能。虽然医学检查以前只能通过快照提取局部症状,但是现在,连续监控可以离散地分析患者的生活方式如何影响其生理状况以及在各种刺激下是否还会出现其他症状。我们演示了特别是医疗应用如何从分层网络方案中受益,该方案将改善无处不在的数据收集的数量和质量。我们的远程医疗网络基础架构在功能和支持的应用程序类型方面提供了灵活性。我们专门提出一个案例研究,以证明我们的网络嵌入式基础结构在体内压力应用中的有效性。体内系统的实验结果证明了它如何以0.02 lbf / in2的精度无线传输从0到1.5 lbf / in2的压力读数。还讨论了生物相容性包装,传感器漂移,电源管理和体内信号传输方面的挑战。这项研究使研究人员更接近连续,实时的系统监视,这将使人们能够分析动态人体生理学。

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