Heckmann R, Ludin H P
J Neurol Neurosurg Psychiatry. 1982 Apr;45(4):331-6. doi: 10.1136/jnnp.45.4.331.
The discrimination of fibrillation potentials and endplate potentials based on the conventional EMG methods is difficult if there is only discrete denervation. The reliability of discrimination can be highly improved if the frequency behaviour of the potentials is taken into account. The average proportional consecutive interval difference is the best discrimination variable with 90% correct findings per analysed potential sequence. When three analyses per muscle are made, the accuracy increases to 97.2%. The second best variable is the mean consecutive difference followed by interval bandwidth, standard deviation of interval, minimum interval and finally maximum interval. The mean duration of intervals does not allow of any differentiation. The frequency analysis can be restricted to spontaneous activity sequences of ten seconds. It is immaterial which part of a prolonged sequence is analysed for ten seconds. The conventional evaluation of registered spontaneous activity either alone or with observation at the monitor under simultaneous acoustic control is inferior to the frequency analysis. The results do not allow a statement of the probability of wrong diagnosis in clinical routine work.
如果仅存在离散性失神经,基于传统肌电图方法鉴别纤颤电位和终板电位是困难的。如果考虑电位的频率特性,鉴别可靠性可显著提高。平均比例连续间隔差是最佳鉴别变量,每个分析的电位序列有90%的正确结果。当对每块肌肉进行三次分析时,准确率提高到97.2%。第二好的变量是平均连续差,其次是间隔带宽、间隔标准差、最小间隔,最后是最大间隔。间隔的平均持续时间无法进行区分。频率分析可限于10秒的自发活动序列。对延长序列的哪一部分进行10秒分析无关紧要。单独对记录的自发活动进行传统评估或在同步听觉控制下在监测器上观察,均不如频率分析。这些结果无法说明临床日常工作中误诊的概率。