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Local emergency detection approach for saving energy in wireless body sensor networks

机译:在无线人体传感器网络中节省能源的本地紧急检测方法

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Patient monitoring is becoming a requirement for offering a better healthcare to an increasing number of chronic patients whether they are living alone, or in nursing homes. Thus, it is necessary to constantly monitor their vital signs to effectively control their health condition and to provide urgent treatment while an emergency such as an abnormal variation of heart rate occurs. In recent years, wireless body sensor networks have emerged as a low cost solution for healthcare applications. However, processing the huge amount of raw data captured by bio medical sensors is a major challenge for this type of networks, along with energy, as in almost all the cases the only source of energy is battery with limited lifetime. In this paper we address how emergency alerts can be supported locally on each node of the network. Our approach proposes some criticality models which allow to reduce considerably the amount of sent data through the network, thus improving power efficiency by sending only critical measures when needed. Simulation results are presented to validate the performance of the proposed approach.
机译:对越来越多的慢性病患者(无论他们是独居还是在疗养院中)提供更好的医疗保健,患者监护已成为一项要求。因此,有必要不断监测他们的生命体征,以有效控制他们的健康状况并在发生诸如心率异常变化之类的紧急情况时提供紧急治疗。近年来,无线人体传感器网络已成为医疗保健应用的低成本解决方案。然而,处理生物医学传感器捕获的大量原始数据是这种类型网络以及能源的一项重大挑战,因为在几乎所有情况下,唯一的能源就是使用寿命有限的电池。在本文中,我们介绍了如何在网络的每个节点上本地支持紧急警报。我们的方法提出了一些关键性模型,这些模型可以大大减少通过网络发送的数据量,从而通过在需要时仅发送关键性措施来提高电源效率。仿真结果表明了该方法的有效性。

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