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首页> 外文期刊>Physica Scripta: An International Journal for Experimental and Theoretical Physics >Myoelectric control of artificial limb inspired by quantum information processing
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Myoelectric control of artificial limb inspired by quantum information processing

机译:受量子信息处理启发的人工肢体的肌电控制

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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 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 abovementioned difficulties, suggesting a very simple scheme for myoelectric control of artificial limb with advanced functionalities.
机译:假肢在许多自由度上的精确而优雅的协调对肢体缺陷患者的有效康复提出了重大挑战。处理从树桩残肢肌肉表面收集的电神经信号是启动和控制人造肢体可用的不同运动的常用方法。基于不同类型的肌肉激活之间存在可区分且可重复的信号模式的假设,假体控制问题简化为模式识别之一。但是,模式识别的广泛接受的经典方法不能提供对人造肢体的同时和比例控制。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,为具有先进功能的人造肢体的肌电控制提出了一种非常简单的方案。

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