This project focuses on the design and development of a biomechatronic system aimed at the rehabilitation of patients with hand pathologies. The primary objective is to replicate the rehabilitation movements of patients through a robotic hand in the physiotherapist's clinic, enabling real-time monitoring of the patient's progress. The system combines image capture software tools with hardware that replicates the movements, offering a hybrid solution that optimizes both in-person and telematic sessions for patients and physiotherapists.
- Real-time monitoring of rehabilitation movements.
- Hybrid solution combining in-person and remote sessions.
- Designed for patients on waiting lists for physical rehabilitation and those with reduced mobility.
Ensure you have the following libraries installed:
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Clone the repository:
git clone https://github.com/josepablopalmero/Thesis.git cd Thesis -
Install the required libraries:
pip install lx16a pip install lewansoul-lx16a
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Run the main script:
python main.py
- Connect the robotic hand hardware as per the instructions in the hardware setup guide.
- Launch the software application.
- Follow the on-screen instructions to start a rehabilitation session.
- Monitor the real-time progress of the patient's rehabilitation movements.
- LX16A Library by danjperron: A Python library to control LX-16A servos.
- Lewansoul LX-16A Library by maximkulkin: A Python package to interface with LewanSoul LX-16A servos.
Contributions are welcome! Please fork the repository and use a feature branch. Pull requests are warmly welcome.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to all those who supported me throughout this project.