{"title":"基于小波变换的非接触心跳信号提取","authors":"Mi He, Yongjian Nian, Bin Liu","doi":"10.1109/BMEI.2015.7401502","DOIUrl":null,"url":null,"abstract":"Noncontact monitoring of vital signs by continuous wave Doppler radar is a promising technique in the field of health care. This paper proposed an improved heart beat signal extraction method based on wavelet transform for noncontact radar vital signal monitoring. The detection accuracy of heart beat rate by the proposed method was higher than bandpass filtering and empirical mode decomposition (EMD) method (all p<;0.05) and the bandpass filtering method at different distances. Detection accuracy and signal to noise ratio varied inversely to distance. Male subjects in front case and female subjects in back case acquired higher accuracy than other orientations.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Noncontact heart beat signal extraction based on wavelet transform\",\"authors\":\"Mi He, Yongjian Nian, Bin Liu\",\"doi\":\"10.1109/BMEI.2015.7401502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Noncontact monitoring of vital signs by continuous wave Doppler radar is a promising technique in the field of health care. This paper proposed an improved heart beat signal extraction method based on wavelet transform for noncontact radar vital signal monitoring. The detection accuracy of heart beat rate by the proposed method was higher than bandpass filtering and empirical mode decomposition (EMD) method (all p<;0.05) and the bandpass filtering method at different distances. Detection accuracy and signal to noise ratio varied inversely to distance. Male subjects in front case and female subjects in back case acquired higher accuracy than other orientations.\",\"PeriodicalId\":119361,\"journal\":{\"name\":\"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2015.7401502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2015.7401502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noncontact heart beat signal extraction based on wavelet transform
Noncontact monitoring of vital signs by continuous wave Doppler radar is a promising technique in the field of health care. This paper proposed an improved heart beat signal extraction method based on wavelet transform for noncontact radar vital signal monitoring. The detection accuracy of heart beat rate by the proposed method was higher than bandpass filtering and empirical mode decomposition (EMD) method (all p<;0.05) and the bandpass filtering method at different distances. Detection accuracy and signal to noise ratio varied inversely to distance. Male subjects in front case and female subjects in back case acquired higher accuracy than other orientations.