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Internet of Things patient-clinician link reliability for Bluetooth 5 and Wi-Fi bands

机译:物联网患者-临床医生链接蓝牙5和Wi-Fi频段的可靠性

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This paper presents empirical and statistical modelling results for body-to-body wireless sensor systems for a bed-bound patient and mobile clinician in futuristic Internet of Things-enabled hospital environments. As wireless link reliability between the "Things" is essential for medical applications we investigate link robustness for typical patient orientations (lying/sitting in bed) and provide data for future medical infrastructures. The Internet of Things (IoT) encompasses many wireless technologies and those currently available will be utilised and accepted first. When averaging results over all three journeys analysis revealed the lying and sitting postures showed similar received power (RSSI) for Bluetooth 5 and both Wi-Fi frequencies (−58.8/−63.8 dBm at 2.4/5.2 GHz respectively) while standard deviation (s.d.) of power was less for lying positions. Also, fading caused by biomechanical movement of the clinician was investigated by removal of distance-dependent path loss components. Averaged over three journeys, lying displayed higher RSSI than sitting for both frequencies (−58.3/−59.3 dBm for lying/sitting at 2.4 GHz, and −63.3/−64.2 dBm for lying/sitting respectively at 5.2 GHz); s.d. of power was less for lying than sitting. This work addresses the lack of useable measurement data for futuristic hospital environments where patients and clinicians form ad-hoc body-to-body biomedical networks.
机译:本文介绍了在启用了物联网的未来医院环境中,卧床患者和移动临床医生的人体对人体无线传感器系统的经验和统计建模结果。由于“物”之间的无线链路可靠性对于医疗应用至关重要,因此我们研究了典型患者方向(躺在床上/躺在床上)的链路健壮性,并为未来的医疗基础设施提供了数据。物联网(IoT)涵盖了许多无线技术,当前可用的那些技术将首先被利用和接受。在对所有三个旅程的结果进行平均时,分析表明,躺着和坐着的姿势都显示了蓝牙5和两个Wi-Fi频率(分别在2.4 / 5.2 GHz时分别为-58.8 / -63.8 dBm)的相似接收功率(RSSI),而标准偏差(sd)平躺的位置的力量较小。而且,通过去除距离相关的路径损耗成分,研究了由临床医生的生物力学运动引起的褪色。在三个旅程中的平均值表示,在两个频率下躺着的RSSI均高于坐着(2.4 GHz躺着/坐着时为-58.3 / -59.3 dBm,在5.2 GHz下躺着/坐着时为-63.3 / -64.2 dBm); s.d.撒谎的力量少于坐着的力量。这项工作解决了在未来派医院环境中缺乏可用的测量数据的问题,在这种环境下,患者和临床医生形成了专门的人体对人体生物医学网络。

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