publication . Other literature type . Article . 2011

Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use

Erik Scheme; Kevin B. Englehart;
Open Access
  • Published: 01 Jan 2011
  • Publisher: Journal of Rehabilitation Research & Development
Abstract
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 control- ling 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 adv...
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free text keywords: Research literature, Artificial intelligence, business.industry, business, Engineering, Proportional myoelectric control, Upper limb, medicine.anatomical_structure, medicine, Myoelectric prosthesis, Amputation, medicine.medical_treatment, Pattern recognition, Multiple degrees of freedom, Prosthesis, Robust control
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