Catherwood Philip A, Steele David, Little Mike, Mccomb Stephen, Mclaughlin James
NIBECUlster UniversityNewtownabbeyBT37 0QBU.K.
RFproximityBelfastBT3 9DTU.K.
IEEE J Transl Eng Health Med. 2018 May 8;6:2800313. doi: 10.1109/JTEHM.2018.2822302. eCollection 2018.
This paper presents an advanced Internet of Things point-of-care bio-fluid analyzer; a LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics system for personalized monitoring. We undertake test simulations (technology trial without patient subjects) to demonstrate potential of long-range analysis, using a disposable test 'key' and companion Android app to form a diagnostic platform suitable for remote point-of-care screening for urinary tract infection (UTI). The 868 MHz LoRaWAN-enabled personalized monitor demonstrated sound potential with UTI test results being correctly diagnosed and transmitted to a remote secure cloud server in every case. Tests ranged over distances of 1.1-6.0 Km with radio path losses from 119-141 dB. All tests conducted were correctly and robustly received at the base station and relayed to the secure server for inspection. The UTI test strips were visually inspected for correct diagnosis based on color change and verified as 100% accurate. Results from testing across a number of regions indicate that such an Internet of Things medical solution is a robust and simple way to deliver next generation community-based smart diagnostics and disease management to best benefit patients and clinical staff alike. This significant step can be applied to any type of home or region, particularly those lacking suitable mobile signals, broadband connections, or even landlines. It brings subscription-free long-range bio-telemetry to healthcare providers and offers savings on regular clinician home visits or frequent clinic visits by the chronically ill. This paper highlights practical hurdles in establishing an Internet of Medical Things network, assisting informed deployment of similar future systems.
本文介绍了一种先进的物联网即时医疗生物流体分析仪；一种用于基于生物医学试纸的诊断系统的支持LoRa/蓝牙的电子阅读器，用于个性化监测。我们进行了测试模拟（无患者受试者的技术试验），以展示远程分析的潜力，使用一次性测试“钥匙”和配套的安卓应用程序，形成一个适用于尿路感染（UTI）远程即时医疗筛查的诊断平台。启用868 MHz LoRaWAN的个性化监测仪显示出良好的潜力，在每种情况下，UTI测试结果都能被正确诊断并传输到远程安全云服务器。测试距离范围为1.1 - 6.0公里，无线电路径损耗为119 - 141分贝。基站正确且稳定地接收了所有进行的测试，并转发到安全服务器进行检查。基于颜色变化对UTI测试试纸进行目视检查以进行正确诊断，并验证其准确率为100%。在多个地区进行的测试结果表明，这样的物联网医疗解决方案是一种强大且简单的方式，可提供下一代基于社区的智能诊断和疾病管理，以使患者和临床工作人员都能最大程度受益。这一重要步骤可应用于任何类型的家庭或地区，特别是那些缺乏合适移动信号、宽带连接甚至固定电话的地区。它为医疗保健提供者带来了免费订阅的远程生物遥测功能，并节省了慢性病患者定期的临床医生家访或频繁门诊就诊的费用。本文强调了建立医疗物联网网络中的实际障碍，有助于为未来类似系统的明智部署提供参考。
