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多运动单位动作电位分析(MMA)。

Multi-motor unit action potential analysis (MMA).

作者信息

Nandedkar S D, Barkhaus P E, Charles A

机构信息

TECA Corporation, Pleasantville, NY 10570, USA.

出版信息

Muscle Nerve. 1995 Oct;18(10):1155-66. doi: 10.1002/mus.880181012.

Abstract

We have developed an algorithm, called multi-motor unit action potential analysis (MMA), to aid quantification in routine needle EMG examination. In only 5-8 min, it was possible to extract, analyze, and validate 20 motor unit action potentials (MUAPs). In the biceps muscle of normal subjects, the MUAP measurements are compared with measurements using manual, triggered averaging, automatic decomposition, and other MMA algorithms described in the literature. The mean values of MUAP features by MMA fell between the extreme limits obtained from the amplitude-triggered method and the manual method described in the literature. In patients, the results are consistent with routine EMG and similar to those results described in the literature. Fast acquisition and analysis of MUAPs as well as interference pattern (IP) analysis make this technique useful to document EMG abnormalities in routine needle examination.

摘要

我们开发了一种名为多运动单位动作电位分析(MMA)的算法,以辅助常规针电极肌电图检查中的量化分析。仅需5 - 8分钟,就能够提取、分析并验证20个运动单位动作电位(MUAP)。在正常受试者的肱二头肌中,将MMA测量的MUAP与文献中描述的手动、触发平均、自动分解及其他MMA算法的测量结果进行了比较。MMA得到的MUAP特征平均值介于文献中幅度触发法和手动法所获得的极值之间。在患者中,结果与常规肌电图一致,且与文献中描述的结果相似。MUAP的快速采集与分析以及干扰图形(IP)分析使得该技术在常规针电极检查中记录肌电图异常情况时非常有用。

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