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...
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| 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 |
| Sumario: | 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. |
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