Simultaneous and proportional myocontrol of multiple degrees of freedom

Dario Farina, Ning Jiang, Hubertus Rehbaum, Silvia Muceli, Massimo Sartori

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Myoelectric control is known since decades. Academic methods are usually based on the supervised classification of electromyographic (EMG) signals into a set of pre-defined functions. Therefore, such methods are sequential and non-proportional. In this talk, novel approaches based on the simultaneous and proportional control of multiple degrees of freedom using EMG will be presented. These methods can be either based on supervised regression (e.g., artificial neural networks) or on EMG signal factorization. The latter method is particularly promising because it does not require training. Results of the application of the new control schemes for both able-bodied and amputee subjects will be presented.
Original languageEnglish
Title of host publicationConverging Clinical and Engineering Research on Neurorehabilitation
Number of pages4
ISBN (Electronic)978-3-642-34546-3
ISBN (Print)978-3-642-34545-6
Publication statusPublished - 2013
Externally publishedYes
Event1st International Conference on NeuroRehabilitation, ICNR 2012: Converging Clinical and Engineering Research - Toledo, Spain
Duration: 14 Nov 201216 Nov 2012
Conference number: 1

Publication series

NameBiosystems & Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570


Conference1st International Conference on NeuroRehabilitation, ICNR 2012
Abbreviated titleINCR
Internet address


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