{"title":"Patient monitoring smart robot for biomedical engineering applications","authors":"Bhoomika S., Peram Varshitha, Bhoomika M.S., Michelle David, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.036","DOIUrl":null,"url":null,"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\nas 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","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"international journal of engineering technology and management sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46647/ijetms.2022.v06i06.036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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