Home Research BCCN I Project Details D2 - Control of advanced hand prosthesis by myoelectric signals
Personal tools

D2 - Control of advanced hand prosthesis by myoelectric signals

Michael Herrmann, Horst Willburger, and Walter Paulus

Present approaches to myoelectric prostheses have restricted themselves, mainly because of practical reasons, to the measurement of a very small number of myoelectric signals in order to control an active prosthesis (in case of Otto Bock prostheses, 2 signals from 2 different muscles). The advent of more complex active prostheses, however, opens the possibility to control much more movement parameters, gaining significantly more flexible movements. To make use of this increased flexibility, it is necessary to increase the information extracted from myoelectric control signals. New experimental data suggest that this may be possible by exploiting complex features of myoelectric activity even from a limited set of muscles. There is evidence that even from a single muscle, several different signals may be derived (Grassme et al. 2003), and that these different signals are actually controlled separately in natural movements (Scholle et al. 2001). This project is going to explore the possibilities that these complex signals can be decoded from myoelectric signals and used for advanced motor prostheses, by using a combined research- and application-based approach.

Belongs to Group(s):