Patient monitoring smart robot for biomedical engineering applications

Bhoomika S., Peram Varshitha, Bhoomika M.S., Michelle David, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath
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Abstract

In this paper, the patient monitoring smart robot for biomedical engineering applications is presented in brief. This paper gives a brief review of the detection of pulse rate, body temperature, room temperature etc considering the modern AI and ML tools. In recent years ,smart robots have proven to be quite beneficial in the investigation of patient monitoring system. A machine resembling a human being and able to replicate certain human movements and functions automatically is known as robot. A robot which uses AI system and can learn from its environment and its experience and build on its capabilities based on that knowledge is called as smart robot. Machine learning, deep learning algorithms, CNN algorithms have all been used foe patient monitoring in various study publications. When these algorithms are applied to pictures, they can predict all monitoring applications quickly and accurately, as well as classify them into different categories. The work presented here is the mini-project work of the second semester engineering students of electronics & communication engineering department of Dayananda Sagar College of Engg., Bangalore, Karnataka
用于生物医学工程的病人监护智能机器人
本文简要介绍了用于生物医学工程的患者监护智能机器人。本文结合现代人工智能和机器学习工具对脉搏率、体温、室温等的检测进行了综述。近年来,智能机器人在病人监护系统的研究中被证明是非常有益的。一种长得像人并能自动复制人的某些动作和功能的机器被称为机器人。使用人工智能系统,能够从环境和经验中学习,并基于这些知识建立自己的能力的机器人被称为智能机器人。在各种研究出版物中,机器学习、深度学习算法、CNN算法都被用于患者监测。当这些算法应用于图片时,它们可以快速准确地预测所有监控应用,并将其分类。这里展示的作品是达亚南达萨加尔工程学院电子与通信工程系第二学期工程专业学生的小项目作品。班加罗尔,卡纳塔克邦
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