基于量子信息处理的假肢肌电控制
Myoelectric Control of Artificial Limb Inspired by Quantum Information Processing
摘要：
假肢在多个自由度上的精确和优雅的协调对肢体缺陷患者的有效康复提出了重大挑战。处理从残肢的残余肌肉表面收集的电神经信号是启动和控制假肢可用的不同运动的常见方式。基于不同类型的肌肉激活之间存在可区分和可重复的信号模式的假设，假肢控制的问题归结为模式识别问题。然而，广泛接受的经典模式识别方法，不能提供同步和比例控制的假肢。在这里，我们表明，原则上，神经信号的量子信息处理使我们能够克服上述困难，提出了一种非常简单的具有高级功能的假肢肌电控制方案。
英文摘要：
Precise and elegant coordination of a prosthesis across many degrees of freedom represents a significant challenge to efficient rehabilitation of people with limb deficiency. Processing the electrical neural signals, collected from the surface of the remnant muscles of the stump, is a common way to initiate and control the different movements available to the artificial limb. Based on the assumption that there are distinguishable and repeatable signal patterns among different types of muscular activation, the problem of the prosthesis control reduces to one of pattern recognition. Widely accepted classical methods for pattern recognition, however, cannot provide simultaneous and proportional control of the artificial limb. Here we show that, in principle, quantum information processing of the neural signals allows us to overcome the above-mentioned difficulties suggesting a very simple scheme for myoelectric control of artificial limb with advanced functionalities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
