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I-CARES: advancing health diagnosis and medication through IoT

机译:I-Cares:通过物联网推进健康诊断和药物

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摘要

Internet of Things (IoT) is changing the way many sectors operate and special attention is paid to promoting healthy living by employing IoT based technologies. In this paper, a novel approach is developed with IoT prototype of Wireless Sensor Network and Cloud based system to provide continuous monitoring of a patient's health status, ensuring timely scheduled and unscheduled medicinal dosage based on real-time patient vitals measurement, life-saving emergency prediction and communication. The designed integrated prototype consists of a wearable expandable health monitoring system, Smart Medicine Dispensing System, Cloud-based Big Data analytical diagnostic and Artificial Intelligence (AI) based reporting tool. A working prototype was developed and tested on few persons to ensure that it is working according to expected standards. Based on the initial experiments, the system fulfilled intended objectives including continuous health monitoring, scheduled timely medication, unscheduled emergency medication, life-saving emergency reporting, life-saving emergency prediction and early stage diagnosis. In addition, based on the analysis reports, physicians can diagnose/decide, view medication side effects, medication errors and prescribe medication accordingly. The proposed system exhibited the ability to achieve objectives it was designed using IoT to alleviate the pressure on hospitals due to crowdedness in hospital care and to reduce the healthcare service delays.
机译:事物互联网(物联网)正在改变许多行业的运作和特别关注的方式,通过采用基于机构的技术来促进健康生活。本文采用了一种新的方法,采用无线传感器网络和基于云系统的IOT原型开发,可持续地监测患者的健康状况,确保基于实时患者维生素测量,节省寿命的紧急情况,确保及时安排的药用剂量预测和沟通。设计的集成原型包括可穿戴的可携带可扩展的健康监测系统,智能药物分配系统,基于云的大数据分析诊断和人工智能(AI)的报告工具。在少数人开发并测试了工作原型,以确保其根据预期标准工作。基于初步实验,该系统实现了预期目标,包括连续健康监测,预定及时用药,未安排的应急药物,救生应急报告,挽救生命的应急预测和早期诊断。此外,根据分析报告,医生可以诊断/确定,观察药物副作用,药物误差并相应地开药。拟议的制度表现出实现目标的能力,该目标是使用物联网来缓解医院的压力,因为在医院护理中挤压,并降低医疗保健服务延误。

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