Yanli Wang, W. Ke, Jun Lu, Haoran Zuo, Mengling Chen, Jie Jin
{"title":"一种基于915mhz频段的无创呼吸频率监测方法","authors":"Yanli Wang, W. Ke, Jun Lu, Haoran Zuo, Mengling Chen, Jie Jin","doi":"10.1109/CISP-BMEI.2018.8633213","DOIUrl":null,"url":null,"abstract":"Breathing frequency not only indicates the progression of the disease but also an important vital sign predicting a rapid decline in health. For this purpose, noncontact monitoring systems are increasingly prevalent to clearly enhance patient comfort. As a low cost solution for noninvasive respiratory monitoring, respiratory rate measurement based on inexpensive transceiver based received signal strength (RSS) is widely used. In this research, respiration rate monitoring method based on ready-made pair of transceivers has been proposed. We propose a method to estimate and improve accuracy and evaluate its effect. Furthermore, respiration monitoring and frequency estimation are performed in the frequency band of 915 MHz. Experimental results show reliable detection and high frequency estimation accuracy.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Non-Invasive Respiration Rate Monitoring Method Using 915 MHz Frequency Band\",\"authors\":\"Yanli Wang, W. Ke, Jun Lu, Haoran Zuo, Mengling Chen, Jie Jin\",\"doi\":\"10.1109/CISP-BMEI.2018.8633213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breathing frequency not only indicates the progression of the disease but also an important vital sign predicting a rapid decline in health. For this purpose, noncontact monitoring systems are increasingly prevalent to clearly enhance patient comfort. As a low cost solution for noninvasive respiratory monitoring, respiratory rate measurement based on inexpensive transceiver based received signal strength (RSS) is widely used. In this research, respiration rate monitoring method based on ready-made pair of transceivers has been proposed. We propose a method to estimate and improve accuracy and evaluate its effect. Furthermore, respiration monitoring and frequency estimation are performed in the frequency band of 915 MHz. Experimental results show reliable detection and high frequency estimation accuracy.\",\"PeriodicalId\":117227,\"journal\":{\"name\":\"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI.2018.8633213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2018.8633213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Non-Invasive Respiration Rate Monitoring Method Using 915 MHz Frequency Band
Breathing frequency not only indicates the progression of the disease but also an important vital sign predicting a rapid decline in health. For this purpose, noncontact monitoring systems are increasingly prevalent to clearly enhance patient comfort. As a low cost solution for noninvasive respiratory monitoring, respiratory rate measurement based on inexpensive transceiver based received signal strength (RSS) is widely used. In this research, respiration rate monitoring method based on ready-made pair of transceivers has been proposed. We propose a method to estimate and improve accuracy and evaluate its effect. Furthermore, respiration monitoring and frequency estimation are performed in the frequency band of 915 MHz. Experimental results show reliable detection and high frequency estimation accuracy.