使用物联网和楼宇健康监测应用程序的医疗保健系统

M. Kusuma Sri, B. Hemalatha, J. Aparna Priya, Amrita. S
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摘要

随着技术的进步和传感器的微型化,人们试图在各个领域利用新技术来提高人类的生活质量。医疗保健领域是采用该技术的一个主要研究领域。需要医疗服务的人发现医疗服务非常昂贵,这在发展中国家尤其如此。因此,该项目试图解决当前社会面临的医疗保健问题。该项目的主要目标是设计一个远程医疗系统。它由三个主要部分组成。第一部分是使用传感器检测病人的生命体征,第二部分是将数据发送到云存储,最后一部分是将检测到的数据提供给远程查看。物联网(IoT)概念已被广泛应用于现有医疗资源的互联,并为患者提供智能、可靠和有效的医疗保健服务。利用物联网的优势改善患者的生活方式,为积极生活和辅助生活提供健康监测是其中一种范例。在这个项目中,我介绍了一种为医疗保健应用定制的物联网架构。该项目的目的是提出一个远程健康监测系统,该系统可使用本地可用的传感器,以便在大规模生产时使其价格合理。因此,所提出的架构通过 Arduino 微控制器收集传感器数据,并将其转发到云端,在云端进行处理和分析,以便远程查看。基于分析数据的反馈行动可通过电子邮件和/或短信提醒发送给医生或监护人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthcare System using IoT and Building Health Monitor App
An improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts
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