Wei Hu, Haiying Zhang, Zhangyan Zhao, Yunfeng Wang, Xize Wang
{"title":"Real-time remote vital sign detection using a portable Doppler sensor system","authors":"Wei Hu, Haiying Zhang, Zhangyan Zhao, Yunfeng Wang, Xize Wang","doi":"10.1109/SAS.2014.6798923","DOIUrl":null,"url":null,"abstract":"A portable sensor system with signal processing techniques was developed in this paper, aiming to provide remote monitoring of vital signs of human subject. The designed sensor based on microwave Doppler radar enables accurate reconstruction of subject's motion caused by cardiopulmonary activities and other movement in the antenna's field of view. The developed algorithm enables real-time estimation of respiration, heart rate in real world conditions. The sensor system was designed to be a compact detector which can be integrated into portable device for personal healthcare applications. The described sensor system was successfully tested on both simulated target and human subject. The working range was from 3 cm to 250 cm, the mean square error of extracted heart rate is 0.46 compared with ECG results.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2014.6798923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
A portable sensor system with signal processing techniques was developed in this paper, aiming to provide remote monitoring of vital signs of human subject. The designed sensor based on microwave Doppler radar enables accurate reconstruction of subject's motion caused by cardiopulmonary activities and other movement in the antenna's field of view. The developed algorithm enables real-time estimation of respiration, heart rate in real world conditions. The sensor system was designed to be a compact detector which can be integrated into portable device for personal healthcare applications. The described sensor system was successfully tested on both simulated target and human subject. The working range was from 3 cm to 250 cm, the mean square error of extracted heart rate is 0.46 compared with ECG results.