基于云的远程知识通信智能救护车系统

B. Jayashree, A. Shivaranjani, S. Suvetha, M. J. Rani, P., Suresha Barani
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引用次数: 0

摘要

救护车是拯救许多生命的工具之一,它把需要急救的人带走。拯救一个人的生命是一项具有挑战性和宝贵的工作。在这个项目中,我们的主要想法是在受害者到达医院之前传递病人的健康状况。在这里,我们使用一些生物医学传感器,如心跳传感器、温度传感器和呼吸传感器来检查患者的健康状况。在物联网的帮助下,医院将通过云不断更新患者的病情。医院还可以通过放置在救护车上的GPS追踪救护车的实时位置,他们可以知道病人到达医院的时间。有了这些信息,如果病人情况危急,医院工作人员可以在病人到达医院之前做出所有早期安排,并尽快挽救他们的生命。在这里,我们使用生物识别传感器通过扫描患者的指纹来了解患者的信息。存储的数据库获取这些信息。在遇到意外情况时,为了避免法律问题,病人的信息会通过GSM发送给警察,同时也会尽快通知病人的亲属。使用生物医学传感器测量的参数由医生使用Blynk应用程序查看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Ambulance System with Remote Knowledge Communications Through Cloud
An ambulance is one of saving many lives by taking the people who need health emergencies. Saving the life of the person is one of the challenging and precious ones. Our key idea is to deliver a patient’s health condition before the victim reaches the hospital in this project. Here we use some biomedical sensors like a heartbeat sensor, temperature sensor, and a respiratory sensor to check the patient health status. There will be a continuous update to the hospital about the patient’s condition through the cloud with the help of the internet of things. The hospitals can also track the ambulance’s live location through the GPS placed in the ambulance where it arrives, and they can know at what time the patient reaches the hospital. With this information, if the patient is in critical condition, the hospital staff can make all the earlier arrangements before the patient arrives at the hospital and saves their lives as soon as possible. Here we use the biometric sensor to know the patient’s information by scanning the patient’s fingerprint. The stored database obtains this information. In cases of accident situations, to avoid legal problems, the patient’s information is sent to the cops through the GSM, and it is also intimated to the patient’s relatives as soon as possible. The parameters which are measured by using biomedical sensors are viewed by doctors using the Blynk app.
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