Simon Ann M, Lock Blair A, Stubblefield Kathy A
Center for Bionic Medicine, Rehabilitation Institute of Chicago, Chicago, IL.
J Prosthet Orthot. 2012 Apr;24(2):56-64. doi: 10.1097/JPO.0b013e3182515437.
Pattern recognition control systems have the potential to provide better, more reliable myoelectric prosthesis control for individuals with an upper-limb amputation. However, proper patient training is essential. We begin user training by teaching the concepts of pattern recognition control and progress to teaching how to control, use, and maintain prostheses with one or many degrees of freedom. Here we describe the training stages, with relevant case studies, and highlight several tools that can be used throughout the training process, including prosthesis-guided training (PGT)-a self-initiated, simple method of recalibrating a pattern recognition-controlled prosthesis. PGT may lengthen functional use times, potentially increasing prosthesis wear time. Using this training approach, we anticipate advancing pattern recognition control from the laboratory to the home environment and finally realizing the full potential of these control systems.
模式识别控制系统有潜力为上肢截肢者提供更好、更可靠的肌电假肢控制。然而，适当的患者培训至关重要。我们通过教授模式识别控制的概念开始用户培训，并逐步教授如何控制、使用和维护具有一个或多个自由度的假肢。在此，我们描述培训阶段，并附上相关案例研究，同时重点介绍在整个培训过程中可以使用的几种工具，包括假肢引导训练（PGT）——一种自我启动的、重新校准模式识别控制假肢的简单方法。PGT可能会延长功能使用时间，从而有可能增加假肢佩戴时间。采用这种培训方法，我们期望将模式识别控制从实验室推广到家庭环境，最终实现这些控制系统的全部潜力。
