Detail
Article
Online article
FT
Medvik - BMC
  • 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

. 2021 ; 21 (17) : . [pub] 20210828

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

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.

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

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...