The paper describes Robołapa - the project of a prosthetic hand controlled by EMG signals. Electromyography (EMG) analyses muscle activity mainly in various medical applications and prosthetics. The model is created only by additive technologies as a fully 3D-printed design. This approach eliminates the need for springs or cables. A Scotch Yoke mechanism allows smooth and precise finger motion. The system uses a MyoWare 2.0 sensor to detect muscle contractions processed by an Arduino to control servo-driven finger movements. One of the biggest challenges is noise out filtering from the EMG signal by optimized DSP. The prototype successfully analyses muscle activity into hand movements, proving that an affordable, easy-to-build prosthetic is possible as a promising step for making prosthetic technology more accessible and practical for real-world use.

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Robołapa - Electromyographically Controlled Prosthetic Hand Model

  • Gabriel Pankowski,
  • Beata Mazurkiewicz,
  • Jacek Mazurkiewicz,
  • Dominik Cedro

摘要

The paper describes Robołapa - the project of a prosthetic hand controlled by EMG signals. Electromyography (EMG) analyses muscle activity mainly in various medical applications and prosthetics. The model is created only by additive technologies as a fully 3D-printed design. This approach eliminates the need for springs or cables. A Scotch Yoke mechanism allows smooth and precise finger motion. The system uses a MyoWare 2.0 sensor to detect muscle contractions processed by an Arduino to control servo-driven finger movements. One of the biggest challenges is noise out filtering from the EMG signal by optimized DSP. The prototype successfully analyses muscle activity into hand movements, proving that an affordable, easy-to-build prosthetic is possible as a promising step for making prosthetic technology more accessible and practical for real-world use.