Demonstration Snapshot: Myoelectric-control

Demonstration Snapshot: Ultrasound Imaging
November 15, 2016
Newcastle University Visiting Fellow, Dr Kalyana Veluvolu, presents his work on Multidimensional Signal Modelling and Processing
February 9, 2017

Prosthetics are often controlled by the surface electromyogram (sEMG) of muscles remaining in the limb to which the prosthesis is attached. Typically this is achieved using the on-off 1 degree of freedom approach. A major challenge for next-generation prosthetics is to design a proportional control scheme that allows for control of a number of degrees of freedom.

We hypothesise that the flexibility of the nervous system is such that individuals may supersede innate biomechanical constraints on upper-limb muscles and joints, and that this ability may be exploited to develop abstract muscle groupings for the purpose of myoelectric-control.

To demonstrate the feasibility of this approach we use co-contraction of muscles in the forearm which typically counteract one another. Calibrated muscle activity, as measured by sEMG, determines the position of a 2-D cursor in the MCI control space.  The position of the cursor in the MCI control space is then used to select what shape a hand, either virtual or artificial, should be moved into.

Presenter: Dr Matthew Dyson

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