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
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...
Persistent Identifiers
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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