A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.
A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.
复制标题
肌电假肢学习模式识别控制的训练策略。
DOI：
10.1097/jpo.0b013e31827af7c1
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Thakor,NitishV
中科院分区：
文献类型：
--
作者：
Powell,MichaelA;Thakor,NitishV
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.
