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Efficient and low cost MIMO communication architecture for smartbands applied to postoperative patient care

机译:适用于术后病人护理的智能带的高效低成本MIMO通信架构

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Frequently, postoperative patient care requires a long period of observation in hospitals by the medical board. During this observation period, the medical board manually inserts time to time vital information of the patients into the medical information system. Such manual procedure can be improved and become more reliable if the patients are equipped with wearable devices that allow the real-time data acquisition and the data processing by machine learning systems. In this work, we propose an efficient and low cost monitoring system for postoperative patient care based on commercial smartbands. Since the current smartbands are restricted to single input single output (SISO) communication, i.e. only one smartband can connect to one smartphone in a short distance range, we propose to expand the commercial smartband capability to a multiple input multiple output (MIMO) communication by proposing a new architecture based on a signal concentrator. According to our experimental results, our proposed architecture with a single concentrator allows a 248: N communication, i.e. the simultaneous usage of 248 smartbands in a same room and the data collected data is transmitted to any number N of physicians without distance restrictions. By considering a system with multiple concentrators, we also propose an M:N architecture communication for smartbands.
机译:通常,术后病人的护理需要医疗委员会在医院进行长时间的观察。在此观察期内,医疗委员会手动将患者的重要信息不时地插入医疗信息系统中。如果患者配备了可穿戴设备,可以通过机器学习系统进行实时数据采集和数据处理,则可以改善这种手动过程并变得更加可靠。在这项工作中,我们提出了一种基于商业智能手环的用于术后病人护理的高效且低成本的监控系统。由于当前的智能带仅限于单输入单输出(SISO)通信,即只有一个智能带可以在短距离范围内连接到一部智能手机,因此我们建议通过以下方式将商业智能带功能扩展到多输入多输出(MIMO)通信:提出了一种基于信号集中器的新架构。根据我们的实验结果,我们提出的具有单个集中器的架构允许248:N的通信,即在同一房间内同时使用248个智能带,并且所收集的数据被传输到任意数量的N个医生而不受距离的限制。通过考虑具有多个集中器的系统,我们还提出了用于智能频带的M:N体系结构通信。

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