智能椅子——基于远程医疗的健康监测系统

R. Lavanya, M. Nivetha, K. Revasree, K. Sandhiya
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引用次数: 13

摘要

随着世界越来越繁忙,人们的健康受到威胁,我们提出了一种基于传感器技术和安全技术开发的远程医疗健康监测系统的创新系统——智能椅子。它保证随时随地为人们提供医疗保健服务。本项目的主要目标是设计和开发健康监测系统,使医生能够实时观察,并通过互联网查看患者的医疗数据历史,并在出现异常情况时给出指示。整个病人监测系统嵌入到椅子上,我们可以让病人坐下来读取生命体征。智能椅子能够监测许多生理参数(例如心率、血压、脉搏、体重和体温)。通过使用Smart chair,患者可以随时了解自己的健康状况,而偏远地区的医护人员可以通过wifi和Gsm模块接收这些设备的数据,并及时给患者提供建议。为了挽救生命,应尽可能在紧急情况下处理具有时效性的医疗数据。我们的实验将利用雾来实现数据的准确性和灵敏度。雾计算是一种将云计算扩展到网络边缘的新技术。雾计算的功能将应用于时间敏感的医疗保健应用程序,这些应用程序提供紧急情况的早期通知,以支持智能决策。在向雾和云传输数据的过程中,攻击者窃取用户隐私信息成为一个主要问题。签名加密通过在单个步骤中执行数据签名和加密来提高资源效率。我们可以通过使用签名加密模型将加密数据发送到云和雾中来解决这个问题。用户可以通过无签名模型进行解密,并将解密结果发送到手机上,从而获取数据。提出的结果是,我们设计了一个基于物联网的安全智能医疗应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Chair-A Telemedicine Based Health Monitoring System
With the world getting busier and health of the people is at stake, we proposed an innovative system named The Smart Chair new model of Health Monitoring system for telemedicine developed based on sensor technologies and Security. It assures health care services for people anywhere and anytime. The main objective of this project is to design and develop health monitoring system that can be observed by the doctor in real time as well as check history of patient's medical data via internet with an indication in case of abnormalities. The whole patient monitoring system is embedded to a chair where we can make the patient to sit down to read vital signs. The smart chair is capable of monitoring many physiological parameters (e.g. heart rate, blood pressure, pulse rate, body weight and body temperature). By using Smart chair, patients can be kept informed of their health condition, while medical staff is in remote area could receive data from those devices by using wifi and Gsm module and give patients suggestions in time. To save the life of person, time-sensitive medical data should be dealt as much as possible in Emergency Situations. Our Experiments will achieve data accuracy and sensitivity using fog. Fog computing is a recently approached technique which extends cloud computing to edge of network. The features in fog computing will be applied for time sensitive healthcare applications, which provide early notification of emergency situations to support smart decision making. During transmission of data to fog and cloud, attackers can steal the privacy of user's information become a major problem. Signcryption provides resource efficiency by performing data signing and encryption in a single step. We can solve this approach by sending encrypted data to cloud and fog with signcryption model. Users can retrieve data by decrypting with unsigncrytion model and getting results to mobile phones. The result proposed is that we design an Iot Based secure smart healthcare application.
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