A classifying algorithm that extracts the intention of the user from muscle activity in the residual limb is developed. An important criterion for functionality of the prosthesis is an intuitive control. The algorithm should enable the user to control a number of different prosthetic functions by movement-specific muscle contractions, which makes the prosthesis as intuitive as possible.
The goal is to distinguish at least three degrees of freedom through different muscle activation patterns. Furthermore, the intensity of the contraction should be determinable.
The muscle activation patterns are measured with multi-channel surface myoelectric electrodes placed in an array over the residual limb. To make good contact with the skin, a new (patient friendly) electrode array with micro-needles that minimally pierce the epidermis (< 70μm) is being developed.
The algorithm and the electrode array will be tested on healthy subjects as well as a group of forearm prosthesis users.
Results:

• Algorithm that can distinguish three degrees of freedom and determine the intensity of the contraction
• Report on test results of the developed algorithm on healthy subjects and a group of forearm prosthesis users
• Innovative micro-needle array for the measurement of muscle activity