The puzzle of RehbeCa: an exergame for assessing cervicalgia

Abstract Neck range of motion (ROM) and pain assessment are crucial aspects of cervical examination. The goal is to match a patient’s clinical presentation with an appropriate treatment. We developed and evaluated a mobile puzzle-based exergame for assessing cervicalgia. An exploratory experiment wi...

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Detalhes bibliográficos
Autores: Roig-Maimó, Maria Francesca, Varona, Javier, Salinas-Bueno, Iosune, MacKenzie, I. Scott, Mas-Sansó, Ramon
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/25870
Acesso em linha:https://hdl.handle.net/20.500.13003/25870
Access Level:acceso abierto
Palavra-chave:Exergame
Cervical rehabilitation
Mobile device
eHealth
Head-tracker
Physiotherapy
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spelling The puzzle of RehbeCa: an exergame for assessing cervicalgiaRoig-Maimó, Maria FrancescaVarona, JavierSalinas-Bueno, IosuneMacKenzie, I. ScottMas-Sansó, RamonExergameCervical rehabilitationMobile deviceeHealthHead-trackerPhysiotherapyExergameAbstract Neck range of motion (ROM) and pain assessment are crucial aspects of cervical examination. The goal is to match a patient’s clinical presentation with an appropriate treatment. We developed and evaluated a mobile puzzle-based exergame for assessing cervicalgia. An exploratory experiment with healthy participants and simulated neck mobility restrictions investigated the relationship between task performance and neck ROM. Insights from this phase led to refinement of the experimental design and apparatus. In a subsequent experiment, the exergame was tested on participants with neck pain to analyze how their neck ROM and pain condition affect task performance. Results indicate that participants suffering from neck pain maintained similar task performance metrics, such as selection rate, but exhibited greater variability in ROM, reflecting their adaptation to pain and mobility limitations. Results also indicate that pain condition significantly influences completion time: Participants with neck pain took longer to complete puzzles than participants with no pain. In the last stage, the data from both experiments were used to feed a machine learning model to test the automatic prediction of cervicalgia assessment parameters. This work advances rehabilitation technologies by integrating tools to automatically adapt and combine exercise and parameters of cervical rehabilitation enabling functional assessment without needing external sensors, distinguishing it from many existing approaches. The system is not only a rehabilitation tool, but also a method for evaluating cervical pain and mobility based on user interaction data.Springer Science and Business Media LLC20252025-09-0220252025-09-02research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/25870reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/258702026-06-22T12:44:07Z
dc.title.none.fl_str_mv The puzzle of RehbeCa: an exergame for assessing cervicalgia
title The puzzle of RehbeCa: an exergame for assessing cervicalgia
spellingShingle The puzzle of RehbeCa: an exergame for assessing cervicalgia
Roig-Maimó, Maria Francesca
Exergame
Cervical rehabilitation
Mobile device
eHealth
Head-tracker
Physiotherapy
Exergame
title_short The puzzle of RehbeCa: an exergame for assessing cervicalgia
title_full The puzzle of RehbeCa: an exergame for assessing cervicalgia
title_fullStr The puzzle of RehbeCa: an exergame for assessing cervicalgia
title_full_unstemmed The puzzle of RehbeCa: an exergame for assessing cervicalgia
title_sort The puzzle of RehbeCa: an exergame for assessing cervicalgia
dc.creator.none.fl_str_mv Roig-Maimó, Maria Francesca
Varona, Javier
Salinas-Bueno, Iosune
MacKenzie, I. Scott
Mas-Sansó, Ramon
author Roig-Maimó, Maria Francesca
author_facet Roig-Maimó, Maria Francesca
Varona, Javier
Salinas-Bueno, Iosune
MacKenzie, I. Scott
Mas-Sansó, Ramon
author_role author
author2 Varona, Javier
Salinas-Bueno, Iosune
MacKenzie, I. Scott
Mas-Sansó, Ramon
author2_role author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Exergame
Cervical rehabilitation
Mobile device
eHealth
Head-tracker
Physiotherapy
Exergame
topic Exergame
Cervical rehabilitation
Mobile device
eHealth
Head-tracker
Physiotherapy
Exergame
description Abstract Neck range of motion (ROM) and pain assessment are crucial aspects of cervical examination. The goal is to match a patient’s clinical presentation with an appropriate treatment. We developed and evaluated a mobile puzzle-based exergame for assessing cervicalgia. An exploratory experiment with healthy participants and simulated neck mobility restrictions investigated the relationship between task performance and neck ROM. Insights from this phase led to refinement of the experimental design and apparatus. In a subsequent experiment, the exergame was tested on participants with neck pain to analyze how their neck ROM and pain condition affect task performance. Results indicate that participants suffering from neck pain maintained similar task performance metrics, such as selection rate, but exhibited greater variability in ROM, reflecting their adaptation to pain and mobility limitations. Results also indicate that pain condition significantly influences completion time: Participants with neck pain took longer to complete puzzles than participants with no pain. In the last stage, the data from both experiments were used to feed a machine learning model to test the automatic prediction of cervicalgia assessment parameters. This work advances rehabilitation technologies by integrating tools to automatically adapt and combine exercise and parameters of cervical rehabilitation enabling functional assessment without needing external sensors, distinguishing it from many existing approaches. The system is not only a rehabilitation tool, but also a method for evaluating cervical pain and mobility based on user interaction data.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-09-02
2025
2025-09-02
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/25870
url https://hdl.handle.net/20.500.13003/25870
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Science and Business Media LLC
publisher.none.fl_str_mv Springer Science and Business Media LLC
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
repository.name.fl_str_mv
repository.mail.fl_str_mv
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