Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach

The quantification of physical demands placed upon handball players, segmented by their specific roles and duration of play, is crucial for sustaining high performance and minimizing the risk of injury. Leveraging advanced inertial measurement units, this investigation captured and analyzed the exte...

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Detalhes bibliográficos
Autores: Karcher, Claude, Font, Roger, Marcos-Jorquera, Diego, Gilart-Iglesias, Virgilio, Manchado, Carmen
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:TecnoCampus
Repositorio:Repositori Digital del TecnoCampus
OAI Identifier:oai:dnet:rdtecnocamp_::a0107477d81388ca3efe62ffe2ff9e65
Acesso em linha:https://hdl.handle.net/20.500.12367/3242
Access Level:acceso abierto
Palavra-chave:Women’s
Female
Team sport
Load
Fatigue development
IMUs
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spelling Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approachKarcher, ClaudeFont, RogerMarcos-Jorquera, DiegoGilart-Iglesias, VirgilioManchado, CarmenWomen’sFemaleTeam sportLoadFatigue developmentIMUsThe quantification of physical demands placed upon handball players, segmented by their specific roles and duration of play, is crucial for sustaining high performance and minimizing the risk of injury. Leveraging advanced inertial measurement units, this investigation captured and analyzed the external load data of athletes participating in the EHF Women’s EURO 2022. The aim of this study was to provide coaching staff with information on fatigue development during periods of high match density. The study evaluated the effects of playing position and cumulative playing time on external load metrics, using linear mixed models that treated individual players as random effects. The study employed a cutting-edge computational framework integrating sensor network technologies, Local Positioning Systems (LPS), and Big Data Analytics within a descriptive analytics methodology. From over half a billion raw records, we distilled 1,013 data entries from 47 matches for analysis. [...]info:eu-repo/semantics/publishedVersionTermedia Publishing House Ltd202620262025info:eu-repo/semantics/article11 p.application/pdfhttps://hdl.handle.net/20.500.12367/3242reponame:Repositori Digital del TecnoCampusinstname:TecnoCampusInglésBiology of Sport. 2025;42(2):225–235Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:rdtecnocamp_::a0107477d81388ca3efe62ffe2ff9e652026-06-21T13:30:27Z
dc.title.none.fl_str_mv Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
title Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
spellingShingle Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
Karcher, Claude
Women’s
Female
Team sport
Load
Fatigue development
IMUs
title_short Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
title_full Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
title_fullStr Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
title_full_unstemmed Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
title_sort Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women’s Euro 2022 through an IoT and Big Data architecture approach
dc.creator.none.fl_str_mv Karcher, Claude
Font, Roger
Marcos-Jorquera, Diego
Gilart-Iglesias, Virgilio
Manchado, Carmen
author Karcher, Claude
author_facet Karcher, Claude
Font, Roger
Marcos-Jorquera, Diego
Gilart-Iglesias, Virgilio
Manchado, Carmen
author_role author
author2 Font, Roger
Marcos-Jorquera, Diego
Gilart-Iglesias, Virgilio
Manchado, Carmen
author2_role author
author
author
author
dc.subject.none.fl_str_mv Women’s
Female
Team sport
Load
Fatigue development
IMUs
topic Women’s
Female
Team sport
Load
Fatigue development
IMUs
description The quantification of physical demands placed upon handball players, segmented by their specific roles and duration of play, is crucial for sustaining high performance and minimizing the risk of injury. Leveraging advanced inertial measurement units, this investigation captured and analyzed the external load data of athletes participating in the EHF Women’s EURO 2022. The aim of this study was to provide coaching staff with information on fatigue development during periods of high match density. The study evaluated the effects of playing position and cumulative playing time on external load metrics, using linear mixed models that treated individual players as random effects. The study employed a cutting-edge computational framework integrating sensor network technologies, Local Positioning Systems (LPS), and Big Data Analytics within a descriptive analytics methodology. From over half a billion raw records, we distilled 1,013 data entries from 47 matches for analysis. [...]
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12367/3242
url https://hdl.handle.net/20.500.12367/3242
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Biology of Sport. 2025;42(2):225–235
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11 p.
application/pdf
dc.publisher.none.fl_str_mv Termedia Publishing House Ltd
publisher.none.fl_str_mv Termedia Publishing House Ltd
dc.source.none.fl_str_mv reponame:Repositori Digital del TecnoCampus
instname:TecnoCampus
instname_str TecnoCampus
reponame_str Repositori Digital del TecnoCampus
collection Repositori Digital del TecnoCampus
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408226762555392
score 15,81155

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