J. Gerrits, R. Vetter, J. Farserotu, C. Hennemann, Michel Hubner, J. Decotignie
{"title":"A low-complexity C-band radar for non-invasive respiration measurement","authors":"J. Gerrits, R. Vetter, J. Farserotu, C. Hennemann, Michel Hubner, J. Decotignie","doi":"10.1109/ISABEL.2010.5702907","DOIUrl":null,"url":null,"abstract":"An interferometric radar operating between 6 and 9 GHz for non-invasive measurement of the respiration rate, is presented. An adaptive RF front-end tracks slow body movements by changing the operating frequency such that the sensing system always operates in its optimum point. Experimental results have been obtained from human beings and the good correlation between the radar signals and a reference signal obtained from a conventional respiratory sensor show the validity of this approach.","PeriodicalId":165367,"journal":{"name":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISABEL.2010.5702907","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
An interferometric radar operating between 6 and 9 GHz for non-invasive measurement of the respiration rate, is presented. An adaptive RF front-end tracks slow body movements by changing the operating frequency such that the sensing system always operates in its optimum point. Experimental results have been obtained from human beings and the good correlation between the radar signals and a reference signal obtained from a conventional respiratory sensor show the validity of this approach.
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