Control of multifunctional prosthetic hands by processing the electromyographic signal.
Control of multifunctional prosthetic hands by processing the electromyographic signal.
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DOI：
10.1615/critrevbiomedeng.v30.i456.80
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发表时间：
2002-01-01
影响因子：
--
通讯作者：
Dario, P
中科院分区：
文献类型：
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作者：
Zecca, M;Micera, S;Dario, P
人手是一个复杂的系统，具有大量的自由度（DoF），嵌入其结构中的传感器，致动器和肌腱，以及复杂的分层控制。尽管有这种复杂性，用户执行不同运动所需的努力是相当小的（尽管经过适当和漫长的训练）。相反，假手只是自然手的苍白复制品，抓握能力明显降低，没有感觉信息传递给使用者。已经进行了几次尝试来开发由肌电图（EMG）信号（肌电手）、挽具（运动手）、残余肌肉的尺寸变化等控制的多功能假肢装置，但是这些方法都不允许“自然”控制两个以上的DoF。本文在临床和研究背景下对通过肌电信号控制假手的传统方法进行了回顾，并介绍了这些设备控制策略的未来发展。
The human hand is a complex system, with a large number of degrees of freedom (DoFs), sensors embedded in its structure, actuators and tendons, and a complex hierarchical control. Despite this complexity, the efforts required to the user to carry out the different movements is quite small (albeit after an appropriate and lengthy training). On the contray, prosthetic hands are just a pale replication of the natural hand, with significantly reduced grasping capabilities and no sensory information delivered back to the user. Several attempts have been carried out to develop multifunctional prosthetic devices controlled by electromyographic (EMG) signals (myoelectric hands), harness (kinematic hands), dimensional changes in residual muscles, and so forth, but none ofthese methods permits the "natural" control of more than two DoFs. This article presents a review of the traditional methods used to control artificial hands by means of EMG signal, in both the clinical and research contexts, and introduces what could be the future developments in the control strategy of these devices.