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Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities
Author(s) -
Schultz Aimee E.,
Kuiken Todd A.
Publication year - 2011
Publication title -
pmandr
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 66
eISSN - 1934-1563
pISSN - 1934-1482
DOI - 10.1016/j.pmrj.2010.06.016
Subject(s) - amputation , medicine , physical medicine and rehabilitation , artificial limbs , set (abstract data type) , quality of life (healthcare) , rehabilitation , prosthesis , control (management) , neural prosthesis , computer science , physical therapy , surgery , biomedical engineering , artificial intelligence , nursing , programming language
Current treatment of upper limb amputation restores some degree of functional ability, but this ability falls far below the standard set by the natural arm. Although acceptance rates can be high when patients are highly motivated and receive proper training and care, current prostheses often fail to meet the daily needs of amputees and frequently are abandoned. Recent advancements in science and technology have led to promising methods of accessing neural information for communication or control. Researchers have explored invasive and noninvasive methods of connecting with muscles, nerves, or the brain to provide increased functionality for patients experiencing disease or injury, including amputation. These techniques offer hope of more natural and intuitive prosthesis control, and therefore increased quality of life for amputees. In this review, we discuss the current state of the art of neural interfaces, particularly those that may find application within the prosthetics field.