Wyffels Jeroen, De Brabanter Jos, Crombez Pieter, Verhoeve Piet, Nauwelaers Bart, De Strycker Lieven
IEEE J Biomed Health Inform. 2014 Nov;18(6):1887-93. doi: 10.1109/JBHI.2014.2302840.
In current healthcare environments, a trend toward mobile and personalized interactions between people and nurse call systems is strongly noticeable. Therefore, it should be possible to locate patients at all times and in all places throughout the care facility. This paper aims at describing a method by which a mobile node can locate itself indoors, based on signal strength measurements and a minimal amount of yes/no decisions. The algorithm has been developed specifically for use in a healthcare environment. With extensive testing and statistical support, we prove that our algorithm can be used in a healthcare setting with an envisioned level of localization accuracy up to room revel (or region level in a corridor), while avoiding heavy investments since the hardware of an existing nurse call network can be reused. The approach opted for leads to very high scalability, since thousands of mobile nodes can locate themselves. Network timing issues and localization update delays are avoided, which ensures that a patient can receive the needed care in a time and resources efficient way.
在当前的医疗环境中，人与护士呼叫系统之间的移动和个性化交互趋势非常明显。因此，应该能够在整个护理机构的任何时间和任何地点定位患者。本文旨在描述一种移动节点可以基于信号强度测量和最少数量的是/否决策在室内定位自身的方法。该算法是专门为医疗环境开发的。通过广泛的测试和统计支持，我们证明我们的算法可用于医疗环境，具有高达房间级别（或走廊区域级别）的预期定位精度，同时避免大量投资，因为现有护士呼叫网络的硬件可以重复使用。所选择的方法具有非常高的可扩展性，因为数千个移动节点可以定位自身。避免了网络定时问题和定位更新延迟，这确保患者能够以高效的时间和资源获得所需的护理。
