Please use this identifier to cite or link to this item: https://doi.org/10.1097/JPO.0b013e31827af7c1
Title: A training strategy for learning pattern recognition control for myoelectric prostheses
Authors: Powell, M.A.
Thakor, N.V. 
Keywords: motor learning
myoelectric prosthesis
Pattern recognition
Issue Date: Jan-2013
Citation: Powell, M.A.,Thakor, N.V. (2013-01). A training strategy for learning pattern recognition control for myoelectric prostheses. Journal of Prosthetics and Orthotics 25 (1) : 30-41. ScholarBank@NUS Repository. https://doi.org/10.1097/JPO.0b013e31827af7c1
Abstract: Pattern recognition-based control of myoelectric prostheses offers amputees a natural, intuitive way of controlling the increasing functionality of modern myoelectric prostheses. Although this approach to prosthesis control is certainly attractive, it is a significant departure from existing control methods. The transition from the more traditional methods of direct or proportional control to pattern recognition-based control presents a training challenge that will be unique to each amputee. In this article, we describe specific ways that a transradial amputee, prosthetist, and occupational therapist team can overcome these challenges by developing consistent and distinguishable muscle patterns. A central part of this process is the use of a computer-based pattern recognition training system with which an amputee can learn and improve pattern recognition skills throughout the process of prosthesis fitting and testing. We describe in detail the manner in which four transradial amputees trained to improve their pattern recognition-based control of a virtual prosthesis by focusing on building consistent, distinguishable muscle patterns. We also describe a three-phase framework for instruction and training: 1) initial demonstration and conceptual instruction, 2) in-clinic testing and initial training, and 3) at-home training. © 2012 American Academy of Orthotists and Prosthetists.
Source Title: Journal of Prosthetics and Orthotics
URI: http://scholarbank.nus.edu.sg/handle/10635/128669
ISSN: 10408800
DOI: 10.1097/JPO.0b013e31827af7c1
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