{"title":"Wireless Healthcare System for Life Detection and Vital Sign Monitoring","authors":"Lili Xie, Jun Tian, Hongchun Li, Qian Zhao","doi":"10.1109/VTC2020-Spring48590.2020.9128431","DOIUrl":null,"url":null,"abstract":"Non-contact human sensing based on radar has attracted numerous attentions and been applied in various applications, such as localization, vital sign monitoring and activity identification. This paper presents a wireless healthcare system to achieve life detection and vital sign monitoring based on frequency-modulated continuous-wave (FMCW) radar. Most of previous methods have studied to detect moving targets. The proposed life detection method has achieved stationary human target detection by utilizing the inherent characteristics of human breathing motion: spatial correlation and periodicity. Based on the phase sensitivity of FMCW radar, breathing motion is monitored within the range provided by the life detection step. Besides, different algorithms are adopted for different detection range to remove the distance and environment impacts. Experiments are carried out and have demonstrated that the proposed method can detect the stationary human targets accurately and 95% of the breathing rate estimation error is less than 3 BPM(Beat Per Minute).","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Non-contact human sensing based on radar has attracted numerous attentions and been applied in various applications, such as localization, vital sign monitoring and activity identification. This paper presents a wireless healthcare system to achieve life detection and vital sign monitoring based on frequency-modulated continuous-wave (FMCW) radar. Most of previous methods have studied to detect moving targets. The proposed life detection method has achieved stationary human target detection by utilizing the inherent characteristics of human breathing motion: spatial correlation and periodicity. Based on the phase sensitivity of FMCW radar, breathing motion is monitored within the range provided by the life detection step. Besides, different algorithms are adopted for different detection range to remove the distance and environment impacts. Experiments are carried out and have demonstrated that the proposed method can detect the stationary human targets accurately and 95% of the breathing rate estimation error is less than 3 BPM(Beat Per Minute).
基于雷达的非接触式人体传感技术受到了广泛的关注,并在定位、生命体征监测和活动识别等领域得到了广泛的应用。提出了一种基于调频连续波(FMCW)雷达实现生命检测和生命体征监测的无线医疗系统。以往的方法大多是研究运动目标的检测。所提出的生命检测方法利用人体呼吸运动的空间相关性和周期性的固有特征,实现了静止的人体目标检测。基于FMCW雷达的相位灵敏度,在生命探测步骤提供的范围内监测呼吸运动。针对不同的检测距离,采用不同的算法来消除距离和环境的影响。实验结果表明,该方法能够准确地检测出静止的人体目标,95%的呼吸频率估计误差小于3bpm (Beat Per Minute)。