A Review on future challenges and concerns associated with an Internet of Things based automatic health monitoring system

A. Pandian
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引用次数: 0

Abstract

This research article surveys the most recent IoT healthcare system research articles as the integration of IoT models have been extended to healthcare systems, such as health monitoring, fitness routines, and other applications. Extensive research study has been conducted on Internet of Things (IoT) technology to enhance the monitoring efficiency. This research is aimed at investigating the Internet of Things [IoT] architecture with an emphasis on cloud-based applications. The most significant challenges in the Internet of Things [IoT] include different elements such as accuracy and energy consumption, wherein this research is focused on improving the performance of IoT-based medical equipment. In this research, data management techniques for the Internet of Things-based cloud healthcare system are also thoroughly investigated. The performance and limitations of the Internet of Things (IoT) health system are evaluated. The majority of studies are successful in detecting a wide range of markers and correctly predicting illness. The Internet of Things (IoT) health system is being developed as an effective solution to the health concerns of elderly population. The major drawbacks of current systems are their increased energy consumption, reduced availability of resources, and safety concerns resulting from the use of a large number of different pieces of equipment.
基于物联网的自动健康监测系统的未来挑战和关注综述
这篇研究文章调查了最近的物联网医疗保健系统研究文章,因为物联网模型的集成已经扩展到医疗保健系统,如健康监测、健身例程和其他应用。为了提高监控效率,人们对物联网技术进行了广泛的研究。本研究旨在研究物联网(IoT)架构,重点是基于云的应用。物联网[IoT]中最重大的挑战包括准确性和能耗等不同因素,其中本研究的重点是提高基于物联网的医疗设备的性能。在本研究中,基于物联网的云医疗系统的数据管理技术也进行了深入的研究。评估了物联网(IoT)卫生系统的性能和局限性。大多数研究都成功地检测了广泛的标记物并正确预测了疾病。物联网(IoT)卫生系统正在发展,作为解决老年人健康问题的有效解决方案。当前系统的主要缺点是能源消耗增加,资源可用性降低,以及由于使用大量不同设备而导致的安全问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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