-
Something wrong with this record ?
The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review
A. Channa, N. Popescu, J. Skibinska, R. Burget
Language English Country Switzerland
Document type Journal Article, Review, Systematic Review
Grant support
813278
European Union's Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278
NLK
Directory of Open Access Journals
from 2001
PubMed Central
from 2003
Europe PubMed Central
from 2003
ProQuest Central
from 2001-01-01
Open Access Digital Library
from 2001-01-01
Open Access Digital Library
from 2003-01-01
Health & Medicine (ProQuest)
from 2001-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2001
PubMed
34502679
DOI
10.3390/s21175787
Knihovny.cz E-resources
- MeSH
- COVID-19 * MeSH
- Humans MeSH
- Wearable Electronic Devices * MeSH
- Pandemics MeSH
- Reproducibility of Results MeSH
- SARS-CoV-2 MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
- Systematic Review MeSH
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.
Computer Science Department University POLITEHNICA of Bucharest RO 060042 Bucharest Romania
Department of Telecommunications Brno University of Technology 61600 Brno Czech Republic
DIIES Department University Mediterranea of Reggio Calabria 89100 Reggio Calabria Italy
Unit of Electrical Engineering Tampere University 33720 Tampere Finland
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc21025081
- 003
- CZ-PrNML
- 005
- 20230720093745.0
- 007
- ta
- 008
- 211013s2021 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3390/s21175787 $2 doi
- 035 __
- $a (PubMed)34502679
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Channa, Asma $u Computer Science Department, University POLITEHNICA of Bucharest, RO-060042 Bucharest, Romania $u DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
- 245 14
- $a The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review / $c A. Channa, N. Popescu, J. Skibinska, R. Burget
- 520 9_
- $a 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.
- 650 12
- $a COVID-19 $7 D000086382
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a pandemie $7 D058873
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 _2
- $a SARS-CoV-2 $7 D000086402
- 650 12
- $a nositelná elektronika $7 D000076251
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a přehledy $7 D016454
- 655 _2
- $a systematický přehled $7 D000078182
- 700 1_
- $a Popescu, Nirvana $u Computer Science Department, University POLITEHNICA of Bucharest, RO-060042 Bucharest, Romania
- 700 1_
- $a Skibinska, Justyna $u Department of Telecommunications, Brno University of Technology, 61600 Brno, Czech Republic $u Unit of Electrical Engineering, Tampere University, 33720 Tampere, Finland
- 700 1_
- $a Burget, Radim, $u Department of Telecommunications, Brno University of Technology, 61600 Brno, Czech Republic $d 1982- $7 jo2015889385
- 773 0_
- $w MED00008309 $t Sensors $x 1424-8220 $g Roč. 21, č. 17 (2021)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34502679 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20211013 $b ABA008
- 991 __
- $a 20230720093740 $b ABA008
- 999 __
- $a ok $b bmc $g 1714230 $s 1145588
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 21 $c 17 $e 20210828 $i 1424-8220 $m Sensors $n Sensors Basel $x MED00008309
- GRA __
- $a 813278 $p European Union's Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278
- LZP __
- $a Pubmed-20211013