A biologically-inspired robust control system for myoelectric control
Kapitel i bok, 2017

We review recent studies that aimed at designing an intuitive and robust myoelectric control system for transradial amputees. The methods developed assume that the forearm muscles are controlled in a synergistic manner and capture this synergistic structure hidden in the electromyographic signal patterns by factorization algorithms. We have shown that this system is capable of providing robust control over multiple degrees of freedom relying on 6 electrodes only and that it is robust to electrode shift. However, a pure factorization approach may result in some unwanted movements when the user is willing to activate only one function, which is mitigated by combining a synergistic controller with pattern recognition.


Silvia Muceli

Universitätsmedizin Göttingen

I. Vujaklija

Universitätsmedizin Göttingen

N. Jiang

University of Waterloo

S. Amsuess

Otto Bock Healthcare Products GmbH

B. Graimann

Otto Bock Healthcare Products GmbH

O. C. Aszmann

Medizinische Universität Wien

D. Farina

Universitätsmedizin Göttingen

Biosystems & Biorobotics







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