Internet of Things Concept in the Context of the COVID-19 Pandemic: A Multi-Sensor Application Design

被引:15
|
作者
Lavric, Alexandru [1 ]
Petrariu, Adrian I. [1 ,2 ]
Mutescu, Partemie-Marian [1 ]
Coca, Eugen [1 ]
Popa, Valentin [1 ,2 ]
机构
[1] Stefan Cel Mare Univ Suceava, Comp Elect & Automat Dept Stefan, Suceava 720229, Romania
[2] Stefan Cel Mare Univ Suceava, MANSiD Res Ctr, Suceava 720229, Romania
关键词
Internet of Things; COVID-19; sensors; remote healthcare; telemedicine; quarantine monitoring; IoT wearable device; LORA;
D O I
10.3390/s22020503
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this paper, we present the design, development and implementation of an integrated system for the management of COVID-19 patient, using the LoRaWAN communication infrastructure. Our system offers certain advantages when compared to other similar solutions, allowing remote symptom and health monitoring that can be applied to isolated or quarantined people, without any external interaction with the patient. The IoT wearable device can monitor parameters of health condition like pulse, blood oxygen saturation, and body temperature, as well as the current location. To test the performance of the proposed system, two persons under quarantine were monitored, for a complete 14-day standard quarantine time interval. Based on the data transmitted to the monitoring center, the medical staff decided, after several days of monitoring, when the measured values were outside of the normal parameters, to do an RT-PCR test for one of the two persons, confirming the SARS-CoV2 virus infection. We have to emphasize the high degree of scalability of the proposed solution that can oversee a large number of patients at the same time, thanks to the LoRaWAN communication protocol used. This solution can be successfully implemented by local authorities to increase monitoring capabilities, also saving lives.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Application of cognitive Internet of Medical Things for COVID-19 pandemic
    Swayamsiddha, Swati
    Mohanty, Chandana
    DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS, 2020, 14 (05) : 911 - 915
  • [2] Design and Implementation of Internet of Things Based Multi-sensor Device
    Khamitkar, Ravikant
    Valsangkar, Farid
    COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018, 2019, 810 : 157 - 163
  • [3] How Internet of Things responds to the COVID-19 pandemic
    Ghaleb T.A.
    Bin-Thalab R.A.
    Alselwi G.A.A.A.
    PeerJ Computer Science, 2021, 7 : 1 - 26
  • [4] How Internet of Things responds to the COVID-19 pandemic
    Ghaleb, Taher A.
    Bin-Thalab, Rasha A.
    Alselwi, Ghadir AbdulhakimAbdo Abdullah
    PEERJ COMPUTER SCIENCE, 2021, 7
  • [5] Application of Multi-Sensor Image Fusion of Internet of Things in Image Processing
    Li, Hong
    Liu, Shuying
    Duan, Qun
    Li, Weibin
    IEEE ACCESS, 2018, 6 : 50776 - 50787
  • [6] Internet of Things: Shaping Healthcare during COVID-19 Pandemic
    Koren, Ana
    Prasad, Ramjee
    24TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC 2021): PAVING THE WAY FOR DIGITAL AND WIRELESS TRANSFORMATION, 2021,
  • [7] Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic?
    Li, Xuran
    Tao, Bishenghui
    Dai, Hong-Ning
    Imran, Muhammad
    Wan, Dehuan
    Li, Dengwang
    Dai, Hong-Ning (hndai@ieee.org), 1600, Elsevier B.V. (75):
  • [8] The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic
    Castiglione, Aniello
    Umer, Muhammad
    Sadiq, Saima
    Obaidat, Mohammad S.
    Vijayakumar, Pandi
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (21) : 16072 - 16082
  • [9] Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic?
    Li, Xuran
    Tao, Bishenghui
    Dai, Hong-Ning
    Imran, Muhammad
    Wan, Dehuan
    Li, Dengwang
    PERVASIVE AND MOBILE COMPUTING, 2021, 75
  • [10] GUEST EDITORIAL: Internet of Medical Things in the Context of COVID-19
    Rodrigues, Joel J. P. C.
    Cengiz, Korhan
    Javed, Muhammad Awais
    Tanwar, Sudeep
    Ning, Zhaolong
    Zeadally, Sherali
    IEEE Internet of Things Magazine, 2021, 4 (02): : 2 - 3