Review of Noncontact Medical and Health Monitoring Technologies Based on FMCW Radar

被引:0
作者
Fang Z. [1 ,2 ,4 ]
Jian P. [1 ,2 ]
Zhang H. [1 ,2 ]
Yao Y. [1 ,2 ]
Geng F. [1 ,2 ]
Liu C. [1 ,2 ]
Yan B. [1 ,3 ]
Wang P. [1 ]
Du L. [1 ]
Chen X. [1 ]
机构
[1] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
[2] School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing
[3] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[4] Research Unit of Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing
关键词
Contactless monitoring; Falling detection; FMCW radar; Sleep monitoring; Vital sign;
D O I
10.12000/JR22019
中图分类号
学科分类号
摘要
A contactless health monitoring system can contribute to health assessment in daily life by reducing appliance usage and avoiding discomfort from wearing electrodes or sensors. Such contactless approaches have the potential to continuously monitor the health status of users, alert patients and health personnel in time when acute medical emergencies occur, and meet the monitoring demands of special populations, such as newborns, burn patients, and patients with infectious diseases. The Frequency-Modulated Continuous-Wave (FMCW) radar can measure the range and velocity of sensing targets and be widely applied in heart and respiration rate monitoring and fall detection. Moreover, advances in FMCW radar have enabled low-cost radar-on-chip and antenna-on-chip systems. Thus, FMCW radar has vital application value in the medical and health monitoring fields. In this study, first, we introduce the basic knowledge of the application of FMCW radar in contactless health monitoring. Then, we systematically review the advanced applications and latest papers in this field. Finally, we summarize the present situations and limitations and provide a brief outlook for the application prospects and potential future research in the field. © 2022 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码:499 / 516
页数:17
相关论文
共 137 条
  • [1] LU Shan, WANG Anzhi, JING Shenqi, Et al., A study on service-oriented smart medical systems combined with key algorithms in the IoT environment[J], China Communications, 16, 9, pp. 235-249, (2019)
  • [2] AL-MAHMUD O, KHAN K, ROY R, Et al., Internet of things (IoT) based smart health care medical box for elderly people[C], 2020 International Conference for Emerging Technology (INCET), pp. 1-6, (2020)
  • [3] VILLENEUVE E, HARWIN W, HOLDERBAUM W, Et al., Reconstruction of angular kinematics from wrist-worn inertial sensor data for smart home healthcare[J], IEEE Access, 5, pp. 2351-2363, (2017)
  • [4] MAHFOUZ M R, KUHN M J, TO G., Wireless medical devices: A review of current research and commercial systems[C], 2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, pp. 16-18, (2013)
  • [5] PARK E, KIM J H, NAM H S, Et al., Requirement analysis and implementation of smart emergency medical services[J], IEEE Access, 6, pp. 42022-42029, (2018)
  • [6] LIU Jian, CHEN Yingying, WANG Yan, Et al., Monitoring vital signs and postures during sleep using WiFi signals[J], IEEE Internet of Things Journal, 5, 3, pp. 2071-2084, (2018)
  • [7] WANG Hao, ZHANG Daqing, WANG Yasha, Et al., RT-Fall: A real-time and contactless fall detection system with commodity WiFi devices[J], IEEE Transactions on Mobile Computing, 16, 2, pp. 511-526, (2017)
  • [8] WANG Xuyu, YANG Chao, Shiwen MAO, PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices[C], 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 1230-1239, (2017)
  • [9] LIN Feng, SONG Chen, ZHUANG Yan, Et al., Cardiac scan: A non-contact and continuous heart-based user authentication system[C], The 23rd Annual International Conference on Mobile Computing and Networking, pp. 315-328, (2017)
  • [10] WILL C, SHI K, SCHELLENBERGER S, Et al., Local pulse wave detection using continuous wave radar systems[J], IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 1, 2, pp. 81-89, (2017)