{"title":"基于树莓派的老年人健康监测系统","authors":"Qingsong Peng","doi":"10.1145/3590003.3590057","DOIUrl":null,"url":null,"abstract":"We present a comprehensive overview of the application of Raspberry Pi in the field of health monitoring for elderly people with disabilities. Firstly we discuss the advantages of using artificial intelligence technology for health monitoring of elderly people, and the significance of using information technology devices to achieve health monitoring for the elderly, while keeping the cost of the devices low. And then we examine the development of Raspberry Pi and its advantages for health monitoring of elderly people with disabilities, such as its low cost, portability, and ease of use. After that we outline the methods of collecting data for health monitoring of elderly people, such as using sensors to measure heart rate, oxygen levels, and blood pressure, and integrating these sensors into a single device. We also discuss the implementation of a Raspberry Pi-based health monitoring system for elderly people, and the ways in which health data can be utilized to optimize the performance of the system. The work provides useful insights for those who are interested in using Raspberry Pi for health monitoring applications for elderly people with disabilities.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Health monitoring system for elderly people based on Raspberry Pi\",\"authors\":\"Qingsong Peng\",\"doi\":\"10.1145/3590003.3590057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a comprehensive overview of the application of Raspberry Pi in the field of health monitoring for elderly people with disabilities. Firstly we discuss the advantages of using artificial intelligence technology for health monitoring of elderly people, and the significance of using information technology devices to achieve health monitoring for the elderly, while keeping the cost of the devices low. And then we examine the development of Raspberry Pi and its advantages for health monitoring of elderly people with disabilities, such as its low cost, portability, and ease of use. After that we outline the methods of collecting data for health monitoring of elderly people, such as using sensors to measure heart rate, oxygen levels, and blood pressure, and integrating these sensors into a single device. We also discuss the implementation of a Raspberry Pi-based health monitoring system for elderly people, and the ways in which health data can be utilized to optimize the performance of the system. The work provides useful insights for those who are interested in using Raspberry Pi for health monitoring applications for elderly people with disabilities.\",\"PeriodicalId\":340225,\"journal\":{\"name\":\"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3590003.3590057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3590003.3590057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health monitoring system for elderly people based on Raspberry Pi
We present a comprehensive overview of the application of Raspberry Pi in the field of health monitoring for elderly people with disabilities. Firstly we discuss the advantages of using artificial intelligence technology for health monitoring of elderly people, and the significance of using information technology devices to achieve health monitoring for the elderly, while keeping the cost of the devices low. And then we examine the development of Raspberry Pi and its advantages for health monitoring of elderly people with disabilities, such as its low cost, portability, and ease of use. After that we outline the methods of collecting data for health monitoring of elderly people, such as using sensors to measure heart rate, oxygen levels, and blood pressure, and integrating these sensors into a single device. We also discuss the implementation of a Raspberry Pi-based health monitoring system for elderly people, and the ways in which health data can be utilized to optimize the performance of the system. The work provides useful insights for those who are interested in using Raspberry Pi for health monitoring applications for elderly people with disabilities.