{"title":"Adaptive pulse template method for accurate detection of heart beat from pressure signals measured during sleep","authors":"Xin Zhu, Wenxi Chen, T. Nemoto, K. Kitamura","doi":"10.1109/ICAWST.2011.6163191","DOIUrl":null,"url":null,"abstract":"We proposed an adaptive pulse template method for accurate detection of heart beat from pressure signals measured during sleep. 13 subjects' pressure and photoplethysmography signals were measured during sleep for evaluation. Compared with our previous heart beat detection method based on differential filtering, the adaptive pulse template method has a higher positive predictivity 94.46% and a satisfying sensitivity 94.08% for the detection of heart beat in the pulse waveform extracted from pressure signals. The accurate detection of heart beat can improve the estimation accuracy of pulse rate variability analysis.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2011.6163191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We proposed an adaptive pulse template method for accurate detection of heart beat from pressure signals measured during sleep. 13 subjects' pressure and photoplethysmography signals were measured during sleep for evaluation. Compared with our previous heart beat detection method based on differential filtering, the adaptive pulse template method has a higher positive predictivity 94.46% and a satisfying sensitivity 94.08% for the detection of heart beat in the pulse waveform extracted from pressure signals. The accurate detection of heart beat can improve the estimation accuracy of pulse rate variability analysis.
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