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[使用“Anops”计算机获得的肌电图记录分析(其在神经肌肉疾病诊断中的实用性)]

[Analysis of EMG records obtained by using an "Anops" computer (their usefulness in the diagnosis of neuromuscular diseases].

作者信息

Szmidt-Sałkowska E

出版信息

Neurol Neurochir Pol. 1985 Mar-Apr;19(2):108-15.

PMID:4047287
Abstract

The studied group included 179 individuals: a control group of 82 subjects, myopathy patients (55) and neurogenic atrophy cases (42). The records were obtained from 4 muscles (biceps, 1st interosseous muscles, quadriceps muscle, anterior tibialis muscle) using the method of automatic EMG analysis and quantitative conventional method. The obtained results demonstrated that in the control group Anops analysis showed no significant differences in the electromyographic parameters of a given muscle in three age groups (15-30, 31-45 and 46-60 years). The values of the mean duration of single potentials were calculated by the automatic method and in the control group they were shorter (by a mean value of 15%) than the mean duration of these potentials calculated by the conventional method. In cases of neuromuscular diseases the obtained measurements differentiated the normal records from the pathological ones, and myogenic from neurogenic lesions. The EMG parameters in the automatic analysis differentiating most evidently normal EMG from pathological EMG were: amplitude and mean duration of single potentials. These results seem to demonstrate the usefulness of automatic analysis of EMG records.

摘要

研究组包括179名个体:82名受试者的对照组、55名肌病患者和42名神经源性萎缩病例。使用自动肌电图分析方法和定量传统方法从4块肌肉(肱二头肌、第一骨间肌、股四头肌、胫前肌)获取记录。所得结果表明,在对照组中,Anops分析显示在三个年龄组(15 - 30岁、31 - 45岁和46 - 60岁)中,给定肌肉的肌电图参数无显著差异。单电位平均持续时间的值通过自动方法计算得出,在对照组中,这些值比通过传统方法计算的这些电位的平均持续时间短(平均短15%)。在神经肌肉疾病病例中,所获得的测量结果能够区分正常记录与病理记录,以及肌源性病变与神经源性病变。自动分析中最能明显区分正常肌电图与病理肌电图的肌电图参数是:单电位的幅度和平均持续时间。这些结果似乎证明了肌电图记录自动分析的有用性。

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