{"title":"Real Time Health Monitoring System using Embedded System","authors":"Mayuri Vishwas Shendage, Ashwini A. Kulkarni","doi":"10.1109/ICETEMS56252.2022.10093338","DOIUrl":null,"url":null,"abstract":"One of the most promising uses of information technology in healthcare and wellness management. Heart rate, pulse oximetry, plethysmography, and other vital data are measured and evaluated via the telemedical system. The suggested system offers a scalable and adaptable personal healthcare system. The system evaluates health factors dynamically using embedded wearable low-power sensors. A sensor node is made of Raspberry Pi. The system employs heart rate variability analysis in temporal and frequency domains to evaluate a person’s physical condition. In this system, the health monitoring system is presented. The patient’s pulse, oxygen level, pressure, and temperature are measured via a MAX30100 pulse oximeter and BMP180 sensor. An intelligent health monitoring system that can track a person’s blood pressure, pulse rate, oxygen level, and temperature is being built using the Internet of Things (IoT).","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEMS56252.2022.10093338","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
One of the most promising uses of information technology in healthcare and wellness management. Heart rate, pulse oximetry, plethysmography, and other vital data are measured and evaluated via the telemedical system. The suggested system offers a scalable and adaptable personal healthcare system. The system evaluates health factors dynamically using embedded wearable low-power sensors. A sensor node is made of Raspberry Pi. The system employs heart rate variability analysis in temporal and frequency domains to evaluate a person’s physical condition. In this system, the health monitoring system is presented. The patient’s pulse, oxygen level, pressure, and temperature are measured via a MAX30100 pulse oximeter and BMP180 sensor. An intelligent health monitoring system that can track a person’s blood pressure, pulse rate, oxygen level, and temperature is being built using the Internet of Things (IoT).