基于物联网的多参数患者监护系统的设计与开发

A. A, Devika. T.D, Varsha. K.R, Sree Sanjanaa Bose.S
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引用次数: 7

摘要

多参数患者监护仪捕捉患者的生理生命体征,通过报警方式对医护人员进行持续监测。医疗保健领域机器学习技术和物联网(IOT)的革命。在本文中,我们设计了一个基于物联网的MPM系统,通过相应的传感器监测心率、呼吸频率、血氧饱和度和体温四个参数,并在紧急情况下发送电子邮件给患者的监护人。该项目还着重于使用支持向量机(SVM)算法改进MPM系统的性能。分类准确率达到95%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of IOT Based Multi-Parameter Patient Monitoring System
Multi-parameter patient monitor captures the physiological vital signs and continuously monitors the patient condition by alerting the medical staff via alarm. The revolutionization in machine learning techniques and Internet of Things (IOT) in healthcare. In this paper, we have designed an IOT based MPM system where four parameter namely heart rate, respiration rate, oxygen saturation and temperature are monitored using corresponding sensors and an email is sent to patient's guardian in case of emergency. The project also focuses on improving the performance of MPM system using Support Vector Machine(SVM) algorithm. The classification accuracy of 95% has been achieved.
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