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Towards Contact-less Vital Sign Monitoring using a COTS Resource-Constrained Multi-Core System - an Experience report -

机译:使用COTS资源受限的多核系统实现非接触式生命体征监测-经验报告-

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Contact-less vital-sign monitoring is enabling in situations where traditional contact-based vital sign monitoring is prohibitive, such as neonatal and burn care where electrodes and attachments risk patient infection or complications. To make vital-sign monitoring available for the consumer market, these algorithms shall use COTS cameras and run on COTS systems. In this paper, we report upon the results of an experiment to improve the performance of a contact-less respiration algorithm on a resource-constrained COTS multi-core system, in our case a Raspberry Pi 3 running Linux, using a state-of-the-art tool to visualize the behavior of a system. The improvements are an increase of the CPU utilization from 72% to almost 94% and an increase of the throughput of the algorithm by more than 45%.
机译:非接触式生命体征监测可在传统的基于接触式生命体征监测被禁止的情况下启用,例如新生儿和烧伤护理,其中电极和附件可能会危及患者感染或并发症。为了使生命体征监测可用于消费市场,这些算法应使用COTS摄像机并在COTS系统上运行。在本文中,我们报告了一项实验结果,该实验旨在提高非接触式呼吸算法在资源受限的COTS多核系统上的性能,在本例中为运行Linux的Raspberry Pi 3,使用状态为可视化系统行为的先进工具。改进之处在于,CPU利用率从72%增加到几乎94%,算法的吞吐量增加了45%以上。

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