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Biomedical Engineering Bachelor's Thesis using OpenCV and Mediapipe libraries, combined with LX16A servomotors.

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Biomechatronic Rehabilitation System

Overview

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.

Features

  • 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.

Installation

Prerequisites

Ensure you have the following libraries installed:

Steps

  1. Clone the repository:

    git clone https://github.com/josepablopalmero/Thesis.git
    cd Thesis
  2. Install the required libraries:

    pip install lx16a
    pip install lewansoul-lx16a
  3. Run the main script:

    python main.py

Usage

  1. Connect the robotic hand hardware as per the instructions in the hardware setup guide.
  2. Launch the software application.
  3. Follow the on-screen instructions to start a rehabilitation session.
  4. Monitor the real-time progress of the patient's rehabilitation movements.

Libraries Used

Contributing

Contributions are welcome! Please fork the repository and use a feature branch. Pull requests are warmly welcome.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Thanks to all those who supported me throughout this project.

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