Media information

Myo Plus pattern recognition

Artificial intelligence – the prosthesis that learns from humans

Reaching for a bottle and pouring a glass of water is a completely natural action for most of us. But not for someone after an arm amputation. In the past, most prosthesis users have had to use specific "co-contractions" – brief simultaneous contractions of two muscle groups – to switch manually back and forth between individual functions of the prosthesis. Myo Plus, Europe's first prosthesis control device with pattern recognition, has now changed this.

A man wearing a Myo Plus arm prosthesis lifts a box of fruit in a supermarket.

Recognising, saving and retrieving movement patterns

Eight electrodes in the prosthesis control device measure the movement patterns of muscles in the residual forearm and assign them to certain hand movements or grips. Tying shoelaces or turning a doorknob, for example. When the patient reaches out for a bottle of water, the Myo Plus prosthesis control device recognises the associated movement pattern and gives the prosthesis the command to perform the respective grip or rotation. This is done automatically.

The patient controls the learning process of the prosthesis

After the initial fitting by an O&P professional, the patient can independently manage the prosthesis control device via an app. The app visualises the measured movement patterns. This allows the patient to practice subconsciously accessing each precise pattern. Most patients can learn how to use the new control device within a matter of days. The greatest challenge users face is the similarity between individual patterns. Due to the fact that many hand movements differ only by the slightest nuance, Myo Plus has to recognise and correctly assign a huge number of different patterns. As soon as communication between the user and the control device has been established, the user can save any progress via the app and thus make their own adjustments.

Myo Plus pattern recognition is compatible with all the company's MyoBock prosthetic hands. In combination with the 14 different grips and hand positions of the multi-articulated bebionic hand, Myo Plus pattern recognition provides support for everyday challenges such as using a keyboard.

Contact person

Sebastian Zavelberg
Public Relations Manager
Corporate Communications

Ottobock SE & Co. KGaA
Prenzlauer Allee 242
10405 Berlin

+49 30 206 039 489

sebastian.zavelberg@ottobock.de