{"title":"在智能手机上使用心脏图测量心率:范围审查","authors":"Tashfiq Rahman, Worarat Krathu, C. Arpnikanondt","doi":"10.1109/KST57286.2023.10086930","DOIUrl":null,"url":null,"abstract":"Background: Smartphones nowadays are equipped with the necessary hardware that can be used to provide consumers with mobile health monitoring and healthcare management. Apps that assess Heart Rate (HR) utilizing the built-in hardware of a smartphone are among these intelligent technologies. This study sought to identify previous research on employing smartphones to estimate vital signs using cardiography procedures.Methods: For this study, a scoping review was completed. Title and abstract were used to initially screen 175 papers and articles, then the eligibility was determined based on the notion that the papers and articles dealt with cardiography and the use of smartphones to estimate pulse.Results: A total of 35 papers and articles were included after screening and eligibility checks, as well as backward and forward literature searches, of which 9 items were listed and characterized as being of interest to smartphone-implemented cardiography research.Conclusions: Although cardiography and its practice in heartbeat measurement have been extensively studied, there is surprisingly little research that looks at the same techniques applied to smartphones from a Computer Science perspective. This paper seeks to serve as a starting point for additional research on the subject of smartphone-based cardiography as well as encourage further in-depth research. Paper Classification: General review.","PeriodicalId":351833,"journal":{"name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heart Rate Measurement on Smartphone using Cardiography: A Scoping Review\",\"authors\":\"Tashfiq Rahman, Worarat Krathu, C. Arpnikanondt\",\"doi\":\"10.1109/KST57286.2023.10086930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Smartphones nowadays are equipped with the necessary hardware that can be used to provide consumers with mobile health monitoring and healthcare management. Apps that assess Heart Rate (HR) utilizing the built-in hardware of a smartphone are among these intelligent technologies. This study sought to identify previous research on employing smartphones to estimate vital signs using cardiography procedures.Methods: For this study, a scoping review was completed. Title and abstract were used to initially screen 175 papers and articles, then the eligibility was determined based on the notion that the papers and articles dealt with cardiography and the use of smartphones to estimate pulse.Results: A total of 35 papers and articles were included after screening and eligibility checks, as well as backward and forward literature searches, of which 9 items were listed and characterized as being of interest to smartphone-implemented cardiography research.Conclusions: Although cardiography and its practice in heartbeat measurement have been extensively studied, there is surprisingly little research that looks at the same techniques applied to smartphones from a Computer Science perspective. This paper seeks to serve as a starting point for additional research on the subject of smartphone-based cardiography as well as encourage further in-depth research. Paper Classification: General review.\",\"PeriodicalId\":351833,\"journal\":{\"name\":\"2023 15th International Conference on Knowledge and Smart Technology (KST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 15th International Conference on Knowledge and Smart Technology (KST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KST57286.2023.10086930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 15th International Conference on Knowledge and Smart Technology (KST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KST57286.2023.10086930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heart Rate Measurement on Smartphone using Cardiography: A Scoping Review
Background: Smartphones nowadays are equipped with the necessary hardware that can be used to provide consumers with mobile health monitoring and healthcare management. Apps that assess Heart Rate (HR) utilizing the built-in hardware of a smartphone are among these intelligent technologies. This study sought to identify previous research on employing smartphones to estimate vital signs using cardiography procedures.Methods: For this study, a scoping review was completed. Title and abstract were used to initially screen 175 papers and articles, then the eligibility was determined based on the notion that the papers and articles dealt with cardiography and the use of smartphones to estimate pulse.Results: A total of 35 papers and articles were included after screening and eligibility checks, as well as backward and forward literature searches, of which 9 items were listed and characterized as being of interest to smartphone-implemented cardiography research.Conclusions: Although cardiography and its practice in heartbeat measurement have been extensively studied, there is surprisingly little research that looks at the same techniques applied to smartphones from a Computer Science perspective. This paper seeks to serve as a starting point for additional research on the subject of smartphone-based cardiography as well as encourage further in-depth research. Paper Classification: General review.