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Aidan D. Roche, Hubertus Rehbaum, Dario Farina, and Oskar C. Aszmann (2014)

Prosthetic Myoelectric Control Strategies: A Clinical Perspective

Curr Surg Rep 2:44:1-11.  (export entry)


BFNT-Chair Neuroinformatics
Control algorithms for upper limb myoelectric prostheses have been in development since the mid-1940s. Despite advances in computing power and in the performance of these algorithms, clinically available prostheses are still based on the earliest control strategies. The aim of this review paper is to detail the development, advantages and disadvantages of prosthetic control systems and to highlight areas that are current barriers for the transition from laboratory to clinical practice. Current surgical strategies and future research directions to achieve multifunctional control will also be discussed. The findings from this review suggest that regression algorithms may offer an alternative feed-forward approach to direct and pattern recognition control, while virtual rehabilitation environments and tactile feedback could improve the overall prosthetic control.
DOI 10.1007/s40137-013-0044-8