The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review
Open accessAbstract
The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of its initial outbreak. Several reasons can be considered: people are in close contact with each other, i.e., at a short range (1 m), and the healthcare system is not sufficiently developed or does not have enough facilities to manage and fight the pandemic, even in developed countries such as the USA and the U.K. and countries in Europe. There is a great need in healthcare for remote monitoring of COVID-19 symptoms. In the past year, a number of IoT-based devices and wearables have been introduced by researchers, providing good results in terms of high accuracy in diagnosing patients in the prodromal phase and in monitoring the symptoms of patients, i.e., respiratory rate, heart rate, temperature, etc. In this systematic review, we analyzed these wearables and their need in the healthcare system. The research was conducted using three databases: IEEE Xplore®, Web of Science®, and PubMed Central®, between December 2019 and June 2021. This article was based on the PRISMA guidelines. Initially, 1100 articles were identified while searching the scientific literature regarding this topic. After screening, ultimately, 70 articles were fully evaluated and included in this review. These articles were divided into two categories. The first one belongs to the on-body sensors (wearables), their types and positions, and the use of AI technology with ehealth wearables in different scenarios from screening to contact tracing. In the second category, we discuss the problems and solutions with respect to utilizing these wearables globally. This systematic review provides an extensive overview of wearable systems for the remote management and automated assessment of COVID-19, taking into account the reliability and acceptability of the implemented technologies.
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The main reason for the upsurge of publications in 2021 may be attributed to the increase of pulse oximetry for triage in patients because of the COVID-19 pandemic and recent concern about accuracy across all skin types.
“The main reason for this surge may be attributed to the increase of this technique for triage in patients because of the current COVID-19 pandemic [12,13,14,15,16,17], and also because of the recent concern about the accuracy of these devices across all skin types [20,57,58,59,60,61].”
From Skin pigmentation influence on pulse oximetry accuracy: a systematic review and bibliometric analysis (2022) · cites this paper as [13]
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References 103 · Cited by 209
Research works printed but not linked: 3
- [13]IEEE IEEE Xplore Digital Library Available online: https://ieeexplore.ieee.org/Xplore/home.jsp/ (accessed on 25 August 2021)
- [14]PubMed National Library of Medicine, National Center for Biotechnology Information Available online: https://pubmed.ncbi.nlm.nih.gov/ (accessed on 25 August 2021)
- [16]Park S. Chung K. Jayaraman S. Wearables: Fundamentals, advancements, and a roadmap for the future Wearable Sensors Elsevier Amsterdam, The Netherlands 2014 1 23
- Authors
- Channa, A., Popescu, N., Skibinska, J., & Burget, R.
- Affiliations
- University of Reggio Calabria (IT)
- Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
- Department of Telecommunications, Brno University of Technology, 61600 Brno, Czech Republic
- Corresponding author
- Channa, Asma
- Popescu, Nirvana
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-08-28
- Volume
- 21
- Issue
- 17
- Pages
- 5787
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC8434481
- OpenAlex
- W3198705930
- Cited by
- 209
- References
- 103
- Citations by year
- 2026: 24 · 2025: 50 · 2024: 46 · 2023: 48 · 2022: 39 · 2021: 2
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Brno University of Technology Digital Library (Brno University of Technology) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278 (813278)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- wearable devices, COVID-19 pandemic, remote patient monitoring, Internet of Things, on-body sensors, contact tracing, COVID-19 screening, artificial intelligence, e-health, vital signs monitoring, health technology adoption
- MeSH terms
- Wearable Electronic Devices, COVID-19, SARS-CoV-2, Humans, Reproducibility of Results, Pandemics
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