T. Chang, Chia-Ming Hsu, Kuan-Wei Chen, Chin-Lung Yang
{"title":"基于高灵敏度互补劈环谐振器的可穿戴式传感器,用于精确测量心肺体征","authors":"T. Chang, Chia-Ming Hsu, Kuan-Wei Chen, Chin-Lung Yang","doi":"10.1109/MWSYM.2017.8059070","DOIUrl":null,"url":null,"abstract":"This paper presents a novel wearable complementary split-ring resonator (CSRR) sensor for smart clothing to measure cardiorespiratory signs. The cardiorespiratory vital signs can be measured in the frequency and amplitude deviations of CSRR caused by the slight displacement from the chest. The heart signals can be extracted from the respiratory signals simultaneously by using a high sensitive CSRR sensor. Based on the proposed approach, the heartbeat can be significantly compared with traditional vital sign detection. Experiment results reveal that the CSRR can determine accurately the physiological signals. From the tracking resonant frequency and amplitude S21, the heartbeat rate and respiratory rate has errors of 0.01% and 0.04%, respectively. At a fixed frequency of 1.1 GHz, cardiorespiratory signals are measured to achieve low error of 0.01%. The proposed method is promising for healthcare applications.","PeriodicalId":6481,"journal":{"name":"2017 IEEE MTT-S International Microwave Symposium (IMS)","volume":"11 1","pages":"208-210"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Wearable sensors based on a high sensitive complementary split-ring resonator for accurate cardiorespiratory sign measurements\",\"authors\":\"T. Chang, Chia-Ming Hsu, Kuan-Wei Chen, Chin-Lung Yang\",\"doi\":\"10.1109/MWSYM.2017.8059070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel wearable complementary split-ring resonator (CSRR) sensor for smart clothing to measure cardiorespiratory signs. The cardiorespiratory vital signs can be measured in the frequency and amplitude deviations of CSRR caused by the slight displacement from the chest. The heart signals can be extracted from the respiratory signals simultaneously by using a high sensitive CSRR sensor. Based on the proposed approach, the heartbeat can be significantly compared with traditional vital sign detection. Experiment results reveal that the CSRR can determine accurately the physiological signals. From the tracking resonant frequency and amplitude S21, the heartbeat rate and respiratory rate has errors of 0.01% and 0.04%, respectively. At a fixed frequency of 1.1 GHz, cardiorespiratory signals are measured to achieve low error of 0.01%. The proposed method is promising for healthcare applications.\",\"PeriodicalId\":6481,\"journal\":{\"name\":\"2017 IEEE MTT-S International Microwave Symposium (IMS)\",\"volume\":\"11 1\",\"pages\":\"208-210\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE MTT-S International Microwave Symposium (IMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSYM.2017.8059070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE MTT-S International Microwave Symposium (IMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2017.8059070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wearable sensors based on a high sensitive complementary split-ring resonator for accurate cardiorespiratory sign measurements
This paper presents a novel wearable complementary split-ring resonator (CSRR) sensor for smart clothing to measure cardiorespiratory signs. The cardiorespiratory vital signs can be measured in the frequency and amplitude deviations of CSRR caused by the slight displacement from the chest. The heart signals can be extracted from the respiratory signals simultaneously by using a high sensitive CSRR sensor. Based on the proposed approach, the heartbeat can be significantly compared with traditional vital sign detection. Experiment results reveal that the CSRR can determine accurately the physiological signals. From the tracking resonant frequency and amplitude S21, the heartbeat rate and respiratory rate has errors of 0.01% and 0.04%, respectively. At a fixed frequency of 1.1 GHz, cardiorespiratory signals are measured to achieve low error of 0.01%. The proposed method is promising for healthcare applications.