Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation

This project centers around the integration of electromyography (EMG) and gaming technology to design a tool aimed for motor rehabilitation practices. The design includes a user-friendly interface and a serious game controlled by muscle contractions, providing immediate biofeedback and making rehabi...

Descripción completa

Detalles Bibliográficos
Autor: Cantú López, Oziel Román
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/412972
Acceso en línea:https://hdl.handle.net/2117/412972
Access Level:acceso abierto
Palabra clave:Electromyography
Electromiografia
Àrees temàtiques de la UPC::Enginyeria biomèdica
id ES_4d300f959121e28f214a67775fa53985
oai_identifier_str oai:upcommons.upc.edu:2117/412972
network_acronym_str ES
network_name_str España
repository_id_str
spelling Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitationCantú López, Oziel RománElectromyographyElectromiografiaÀrees temàtiques de la UPC::Enginyeria biomèdicaThis project centers around the integration of electromyography (EMG) and gaming technology to design a tool aimed for motor rehabilitation practices. The design includes a user-friendly interface and a serious game controlled by muscle contractions, providing immediate biofeedback and making rehabilitation engaging. The methodology hinges on using a series of Python libraries to develop a game based on the classic video game "Flappy Bird," where the bird's motion is controlled by EMG signals reflecting muscle contractions. This approach ensures the game is both accessible and effective in meeting diverse rehabilitation needs. The tool not only extracts physiological indices from the EMG signal for clinical analysis but also incorporates a dashboard that presents these metrics to healthcare professionals, enhancing medical oversight and analysis. The rehabilitation tool successfully implements four therapeutic modes, each tailored to different rehabilitation scenarios. This setup demonstrates the tool's versatility in adapting to various user requirements for effectively enhancing motor function rehabilitation. Conclusively, the tool successfully meets the expected outcome by integrating EMG signal analysis with gamification, providing effective biofeedback-driven rehabilitation and EMG indices for medical analysis. Future work will concentrate on refining the dashboard based on professional feedback, expanding game modalities, and enhancing the rehabilitation experience with additional visual and audio elements.Universitat Politècnica de CatalunyaRojas Martínez, Mónica MarleneAlonso López, Joan Francesc20242024-05-1420242024-07-29master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/412972reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4129722026-05-27T15:37:01Z
dc.title.none.fl_str_mv Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
title Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
spellingShingle Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
Cantú López, Oziel Román
Electromyography
Electromiografia
Àrees temàtiques de la UPC::Enginyeria biomèdica
title_short Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
title_full Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
title_fullStr Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
title_full_unstemmed Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
title_sort Biofeedback-driven recovery: EMG signal-aased tool development for motor rehabilitation
dc.creator.none.fl_str_mv Cantú López, Oziel Román
author Cantú López, Oziel Román
author_facet Cantú López, Oziel Román
author_role author
dc.contributor.none.fl_str_mv Rojas Martínez, Mónica Marlene
Alonso López, Joan Francesc
dc.subject.none.fl_str_mv Electromyography
Electromiografia
Àrees temàtiques de la UPC::Enginyeria biomèdica
topic Electromyography
Electromiografia
Àrees temàtiques de la UPC::Enginyeria biomèdica
description This project centers around the integration of electromyography (EMG) and gaming technology to design a tool aimed for motor rehabilitation practices. The design includes a user-friendly interface and a serious game controlled by muscle contractions, providing immediate biofeedback and making rehabilitation engaging. The methodology hinges on using a series of Python libraries to develop a game based on the classic video game "Flappy Bird," where the bird's motion is controlled by EMG signals reflecting muscle contractions. This approach ensures the game is both accessible and effective in meeting diverse rehabilitation needs. The tool not only extracts physiological indices from the EMG signal for clinical analysis but also incorporates a dashboard that presents these metrics to healthcare professionals, enhancing medical oversight and analysis. The rehabilitation tool successfully implements four therapeutic modes, each tailored to different rehabilitation scenarios. This setup demonstrates the tool's versatility in adapting to various user requirements for effectively enhancing motor function rehabilitation. Conclusively, the tool successfully meets the expected outcome by integrating EMG signal analysis with gamification, providing effective biofeedback-driven rehabilitation and EMG indices for medical analysis. Future work will concentrate on refining the dashboard based on professional feedback, expanding game modalities, and enhancing the rehabilitation experience with additional visual and audio elements.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-05-14
2024
2024-07-29
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/412972
url https://hdl.handle.net/2117/412972
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
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
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407675388788736
score 15,811543

Similares en LA Referencia