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用于肌肉纤维传导速度测量的快速在线极性相关算法

Fast on-line polarity correlation algorithms for muscle fibre conduction velocity measurement.

作者信息

Harba M I, Zaia I F, Naief A K, Abid-Ali F

机构信息

Electronics and Computers Research Centre, Scientific Research Council, Baghdad, Republic of Iraq.

出版信息

J Biomed Eng. 1988 Oct;10(5):411-6. doi: 10.1016/0141-5425(88)90144-6.

Abstract

Polarity cross-correlation is a useful technique for the measurement of muscle fibre conduction velocity using surface electromyography. Owing to the nature and volume of computation involved in the correlation function, standard techniques for its estimation by a microprocessor are too slow for an on-line application. In this paper two algorithms suitable for on-line estimation of polarity function are presented. Some useful features of the correlation function, as well as careful programming and careful choice of instructions, made it possible to use a standard microprocessor to achieve higher sampling rates than those reported recently.

摘要

极性互相关是一种利用表面肌电图测量肌纤维传导速度的有用技术。由于相关函数计算的性质和计算量,微处理器估计其的标准技术对于在线应用来说太慢了。本文提出了两种适用于在线估计极性函数的算法。相关函数的一些有用特性,以及精心的编程和指令选择,使得使用标准微处理器能够实现比最近报道的更高的采样率。

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