Sanders D B, Stålberg E V, Nandedkar S D
Division of Neurology, Duke University Medical Center, Durham, NC 27710, USA.
J Clin Neurophysiol. 1996 Sep;13(5):385-400. doi: 10.1097/00004691-199609000-00003.
The electromyographic interference pattern (EMG-IP) contains information about the number, firing rate, and recruitment characteristics of motor units, and information regarding the waveforms of the recruited motor units. Muscle and nerve diseases produce characteristic changes in the IP that can be distinguished by IP analysis. This analysis complements analysis of the motor unit potentials. The electromyographer usually assesses the IP signals subjectively by their appearance on the oscilloscope screen and by their sound on the audio monitor. Techniques have been developed to automate IP analysis with and without force monitoring. These techniques give objective information, quantitate the degree of abnormality, and permit electromyographers-in-training to compare their subjective analysis of the IP with more objective findings.
肌电图干扰模式（EMG - IP）包含有关运动单位的数量、放电频率和募集特征的信息，以及有关所募集运动单位波形的信息。肌肉和神经疾病会在IP中产生特征性变化，这些变化可通过IP分析加以区分。这种分析是对运动单位电位分析的补充。肌电图检查者通常通过示波器屏幕上的外观和音频监视器上的声音来主观评估IP信号。已经开发出了在有和没有力量监测的情况下自动进行IP分析的技术。这些技术提供客观信息，量化异常程度，并使正在接受培训的肌电图检查者能够将他们对IP的主观分析与更客观的结果进行比较。
