Contactless Human Vital Sign Monitoring System Using Millimeter Wave FMCW Radar for Healthcare Applications

被引:0
作者
Akash, Md. Sayzar Rahman [1 ,2 ]
Saha, Simanta [1 ]
Sagor, Md. Shakil Ahamed [1 ]
Nihal, Nazmus Sakib [1 ]
Neir, Shilamoni Shaha [1 ]
Imam, Mohammad Hasan [1 ,2 ]
机构
[1] Amer Int Univ Bangladesh, Dept Elect & Elect Engn, Dhaka 1229, Bangladesh
[2] Amer Int Univ Bangladesh, Ctr Biomed Res CBR, D2A2I, Dhaka 1229, Bangladesh
来源
2024 IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, COMPUTER AND INFORMATION TECHNOLOGY FOR HEALTH, BECITHCON | 2024年
关键词
Vital Sign; Contactless Monitoring; Heart Rate; Respiratory Rate; Breathing Rate; Skin Temperature; FMCW; IoMT; mmWave; Radar Antenna; Healthcare;
D O I
10.1109/BECITHCON64160.2024.10962775
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
During the COVID-19 pandemic, the need for contactless monitoring of people became very clear. To prevent the spread of the virus, physical interactions were minimized. As a result, many industries, including healthcare, are now focusing on touchless solutions. This research is driven by the need to tackle significant healthcare issues caused by contagious diseases, limited resources, and a shortage of healthcare workers. The paper discusses designing a contactless vital sign monitoring device that uses a 60 GHz FMCW radar and a thermal sensor to track respiratory rate, heart rate, and skin temperature. Heart sufferers and the elderly will benefit most from this device. It is appropriate for usage during sleep and in situations of viral illnesses due to its contactless nature. The device uses a thermal sensor to assess temperature and a 60 GHz radar to track the heart rate and the respiration rate. An Arduino 33 IoT processes data from the radar before sending it to display. For the age group 22 to 25, the device detected the heart rate accuracy of approximately 92.11% and a respiratory rate accuracy of about 89.88%. For the age group 45 to 79, the device shows a heart rate accuracy of around 96.05% and a respiratory rate accuracy of approximately 93.73%. These accuracy rates were determined from 90 data samples from 18 participants, with the accuracy derived from their Mean Absolute Percentage Error (MAPE%) values.
引用
收藏
页码:137 / 142
页数:6
相关论文
共 18 条
[1]   Smart Homes that Monitor Breathing and Heart Rate [J].
Adib, Fadel ;
Mao, Hongzi ;
Kabelac, Zachary ;
Katabi, Dina ;
Miller, Robert C. .
CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, :837-846
[2]  
Akash Md. S. R., 2023, 2023 26 INT C COMP I, P1, DOI [10.1109/ICCIT60459.2023.10441458, DOI 10.1109/ICCIT60459.2023.10441458]
[3]  
Akash Md. S. R., 2023, 2023 26 INT C COMP I, P1, DOI [10.1109/ICCIT60459.2023.10441619, DOI 10.1109/ICCIT60459.2023.10441619]
[4]   Remote Monitoring of Human Vital Signs Using mm-Wave FMCW Radar [J].
Alizadeh, Mostafa ;
Shaker, George ;
Martins De Almeida, Joao Carlos ;
Morita, Plinio Pelegrini ;
Safavi-Naeini, Safeddin .
IEEE ACCESS, 2019, 7 :54958-54968
[5]   Improved Contactless Heartbeat Estimation in FMCW Radar via Kalman Filter Tracking [J].
Arsalan, Muhammad ;
Santra, Avik ;
Will, Christoph .
IEEE SENSORS LETTERS, 2020, 4 (05)
[6]   Improved Heartbeat Detection by Exploiting Temporal Phase Coherency in FMCW Radar [J].
Choi, Ho-Ik ;
Song, Woo-Jin ;
Song, Heemang ;
Shin, Hyun-Chool .
IEEE ACCESS, 2021, 9 :163654-163664
[7]  
community.infineon, FMCW radar working principle simulation based on python Chapter 1: Distance simulation
[8]  
Du F., 2022, J. Comput. Commun., V10, DOI [10.4236/jcc.2022.103009, DOI 10.4236/JCC.2022.103009]
[9]   Continuous monitoring of vital sign abnormalities: Association to clinical complications in 500 postoperative patients [J].
Haahr-Raunkjaer, C. ;
Molgaard, J. ;
Rasmussen, S. M. ;
Elvekjaer, M. ;
Achiam, M. P. ;
Jorgensen, L. N. ;
Sogaard, M. I. ;
Gronbaek, K. K. ;
Oxboll, A. -B. ;
Sorensen, H. B. D. ;
Meyhoff, C. S. ;
Aasvang, E. K. .
ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2023, 67 (04) :548-548
[10]   Remote Vital Signs Measurement of Indoor Walking Persons Using mm-Wave FMCW Radar [J].
Hu, Yaokun ;
Toda, Takeshi .
IEEE ACCESS, 2022, 10 :78219-78230