Résumé:
This thesis presents the design and implementation of a myoelectric prosthetic forearm
intended for individuals with transradial amputation. The primary objective of this project is
to accurately capture the electromyography (EMG) signal, perform sampling, and digitally
process it using the Tang Nano 9K FPGA development board. By successfully achieving
these steps, the goal is to effectively control a servo-motor to execute a basic wrist rotation
movement. However, during our experimentation, we encountered some unpredictability in
capturing the EMG signal due to certain imperfections in our design and implementation.
Nevertheless, the use of pure sine waves to simulate the EMG signal frequencies provided
valuable evidence that validates the feasibility of the concept and methodology employed in
this project.