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A multifunctional prosthesis control system based on time series identification of EMG signals using microprocessors.

作者信息

Graupe D, Beex A A, Monlux W J, Magnussen I

出版信息

Bull Prosthet Res. 1977 Spring;10(27):4-16.

PMID:603818
Abstract

This paper describes a real-time system for separation among several limb functions, in order to provide multifunctional control of an upper-limb prosthesis for above-elbow amputees. The system employs microprocessor hardware and is based on identification of voluntary myoelectric signals resulting from isometric contractions of the musculature of the residual limb, and on subsequent discrimination of these signals for control of the several degrees of motion of the prosthesis. The system requires only one to two electrode sites. (Contrary to the usual placement of electrode pairs directly over specific muscle bellies, to eliminate crosstalk, we prefer to place our electrode pair between muscles so as to acquire the different weakly-correlated signals associated with each of several different voluntary functions). The system satisfies the various practical constraints of weight, volume, and speed, as arise in practical prostheses. Preliminary amputee tests on the system have resulted in an 85 percent success rate using 8-bit double-precision micro-computer hardware.

摘要

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引用本文的文献

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An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject.一种用于控制手部假肢的替代性肌电模式识别方法:一名肢体发育异常患者在日常生活中的使用案例研究。
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J Neuroeng Rehabil. 2018 Mar 15;15(1):23. doi: 10.1186/s12984-018-0361-3.
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Adaptable myoelectric prosthetic control with functional visual feedback using microprocessor techniques.
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