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Wearable sensors, devices and electronics for training load and match load monitoring: a short review

dc.contributor.authorTeixeira, José Eduardo
dc.contributor.authorForte, Pedro
dc.contributor.authorFerraz, Ricardo
dc.contributor.authorLeal, Miguel
dc.contributor.authorSoares, Joana R.
dc.contributor.authorSilva, A.J.
dc.contributor.authorBarbosa, Tiago M.
dc.contributor.authorMonteiro, A.M.
dc.date.accessioned2021-05-31T09:11:29Z
dc.date.available2021-05-31T09:11:29Z
dc.date.issued2021
dc.description.abstractMonitoring training and match load provides important insights about individual responses and fatigue-recovery status. Growing use of wearable sensors, devices and electronics in team sports as Football has allowed a most quick control of training and match demands. Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant English-language articles was performed from earliest record to December 2020. The literature search was performed by seven online databases specifically Web of Science, PubMed, Medline, Science Direct, SCOPUS and SportDiscus. The literature search returned 12,497 and 22 full-text articles were reviewed after screening procedures. From the reviewed studies, the internal training load measures were reported in seven studies and the external training load were reported nine studies. With regard to internal load measures, nine studies reported heart-derived measures and six studies included perceived exertion. Measuring training impulse (TRIMP) with short-range telemetry system -ratio scale were the most common internal load indicators. Global positioning systems (GPS), local position measurement (LPM) systems and semi-automatic multiple-camera systems were vastly reported for assessing external training load providing gather football intermittent movements. High intensity movements represents a critical point to assess training and match demands. Integrating different wearable sensors, devices and electronics was reported as being a robust methodological approach. The micro-technology-derived measures have been largely selected to quantify training and match load (CV 12%).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, J.E.; Forte, Pedro; Ferraz, R.; Leal, Miguel; Soares, Joana R.; Silva, A.J.; Barbosa, Tiago M.; Monteiro, A.M. (2021). Wearable sensors, devices and electronics for training load and match load monitoring: a short review. In Book of Abstracts of the Fourth International Scientific Conference “Health, Sport, Recreation”. Belgradept_PT
dc.identifier.isbn978-86-83687-29-9
dc.identifier.urihttp://hdl.handle.net/10198/23622
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCollege of Sports and Healthpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSoccerpt_PT
dc.subjectMicro-technologypt_PT
dc.subjectTracking systemspt_PT
dc.subjectWorkloadpt_PT
dc.titleWearable sensors, devices and electronics for training load and match load monitoring: a short reviewpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBelgradept_PT
oaire.citation.endPage164pt_PT
oaire.citation.startPage163pt_PT
oaire.citation.titleBook of Abstracts of the Fourth International Scientific Conference “Health, Sport, Recreation”pt_PT
person.familyNameTeixeira
person.familyNameForte
person.familyNameBarbosa
person.familyNameMonteiro
person.givenNameJosé Eduardo
person.givenNamePedro
person.givenNameTiago M.
person.givenNameAntónio M.
person.identifier.ciencia-idD11C-9591-7A8A
person.identifier.ciencia-id351B-B16B-79C7
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.ciencia-idC41C-6CCD-A1F0
person.identifier.orcid0000-0003-4612-3623
person.identifier.orcid0000-0003-0184-6780
person.identifier.orcid0000-0001-7071-2116
person.identifier.orcid0000-0003-4467-1722
person.identifier.scopus-author-id10044856400
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery79042f92-ce53-4b79-a33f-76ac63c55b8d

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