{"title":"连续波多普勒雷达非接触检测心率变异性的短时自相关方法","authors":"Nhan Thi Phuong Nguyen, Pei-Yu Lyu, Meng-Hsuan Lin, Chia-Chan Chang, Sheng-Fuh Chang","doi":"10.1109/IMBIOC.2019.8777797","DOIUrl":null,"url":null,"abstract":"Contactless detection of human heart rate variability using radars has been a promising area for healthcare and clinical practice. In this paper, a continuous-wave 2.45 GHz Doppler radar is used for wirelessly measuring heartbeat rate and inter-beat interval variation. Relying on the characteristics of an autocorrelation function, an algorithm for heart rate variability extraction using short-time autocorrelation is proposed. The autocorrelation algorithms achieves the high accurate estimation of heartbeat inter-interval variation, compared with the Electrocardiography (ECG).","PeriodicalId":171472,"journal":{"name":"2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Short-Time Autocorrelation Method for Noncontact Detection of Heart Rate Variability Using CW Doppler Radar\",\"authors\":\"Nhan Thi Phuong Nguyen, Pei-Yu Lyu, Meng-Hsuan Lin, Chia-Chan Chang, Sheng-Fuh Chang\",\"doi\":\"10.1109/IMBIOC.2019.8777797\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contactless detection of human heart rate variability using radars has been a promising area for healthcare and clinical practice. In this paper, a continuous-wave 2.45 GHz Doppler radar is used for wirelessly measuring heartbeat rate and inter-beat interval variation. Relying on the characteristics of an autocorrelation function, an algorithm for heart rate variability extraction using short-time autocorrelation is proposed. The autocorrelation algorithms achieves the high accurate estimation of heartbeat inter-interval variation, compared with the Electrocardiography (ECG).\",\"PeriodicalId\":171472,\"journal\":{\"name\":\"2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMBIOC.2019.8777797\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBIOC.2019.8777797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Short-Time Autocorrelation Method for Noncontact Detection of Heart Rate Variability Using CW Doppler Radar
Contactless detection of human heart rate variability using radars has been a promising area for healthcare and clinical practice. In this paper, a continuous-wave 2.45 GHz Doppler radar is used for wirelessly measuring heartbeat rate and inter-beat interval variation. Relying on the characteristics of an autocorrelation function, an algorithm for heart rate variability extraction using short-time autocorrelation is proposed. The autocorrelation algorithms achieves the high accurate estimation of heartbeat inter-interval variation, compared with the Electrocardiography (ECG).
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