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IoT-Based Smart Health Monitoring System for COVID-19.
- Source :
-
SN computer science [SN Comput Sci] 2022; Vol. 3 (2), pp. 137. Date of Electronic Publication: 2022 Jan 20. - Publication Year :
- 2022
-
Abstract
- With the commencement of the COVID-19 pandemic, social distancing and quarantine are becoming essential practices in the world. IoT health monitoring systems prevent frequent visits to doctors and meetings between patients and medical professionals. However, many individuals require regular health monitoring and observation through medical staff. In this proposed work, we have taken advantage of the technology to make patients life easier for earlier diagnosis and treatment. A smart health monitoring system is being developed using Internet of Things (IoT) technology which is capable of monitoring blood pressure, heart rate, oxygen level, and temperature of a person. This system is helpful for rural areas or villages where nearby clinics can be in touch with city hospitals about their patient health conditions. However, if any changes occur in a patient's health based on standard values, then the IoT system will alert the physician or doctor accordingly. The maximum relative error (% ϵ <subscript>r</subscript> ) in the measurement of heart rate, patient body temperature and SPO <subscript>2</subscript> was found to be 2.89%, 3.03%, 1.05%, respectively, which was comparable to the commercials health monitoring system. This health monitoring system based on IoT helps out doctors to collect real-time data effortlessly. The availability of high-speed internet allows the system to monitor the parameters at regular intervals. Furthermore, the cloud platform allows data storage so that previous measurements could be retrieved in the near future. This system would help in identifying and early treatment of COVID-19 individual patients.<br />Competing Interests: Conflict of interestAll the authors declare that he/she has no conflict of interest.<br /> (© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022.)
Details
- Language :
- English
- ISSN :
- 2661-8907
- Volume :
- 3
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- SN computer science
- Publication Type :
- Academic Journal
- Accession number :
- 35079705
- Full Text :
- https://doi.org/10.1007/s42979-022-01015-1