Article

Using electromyogram (EMG) signals to control upper-limb prostheses is an
important clinical option, offering a person with amputation autonomy of control
by contracting residual muscles. The dexterity with which one may control a
prosthesis has progressed very little, especially when controlling multiple
degrees of freedom. Using pattern recognition to discriminate multiple degrees of
freedom has shown great promise in the research literature, but it has yet to
transition to a clinically viable option. This article describes the pertinent
issues and best practices in EMG pattern recognition, identifies the major
challenges in deploying robust control, and advocates research directions that
may have an effect in the near future.

Langue : ANGLAIS