Nandedkar S D, Sanders D B, Stålberg E V
Muscle Nerve. 1986 Jul-Aug;9(6):486-90. doi: 10.1002/mus.880090603.
We have defined three new features of the electromyographic (EMG) interference pattern (IP): activity, upper centile amplitude (UCA), and number of small segments (NSS). These parameters were measured in simulated IPs constructed by adding together motor unit action potentials (MUAPs) recorded with a concentric needle EMG electrode. The activity increases linearly with the number of MUAP discharges to approximately 80% of its theoretical maximum value. The UCA correlates strongly with the peak-to-peak amplitude of the largest MUAP in the IP and the mean segment amplitude and does not depend on the discharge rate of the largest MUAPs. We infer that the UCA defines the upper limit of the peak-to-peak amplitude of the MUAPs contained in the IP. The NSS increases with the number of MUAP discharges, but reaches a constant value at higher MUAP discharge rates, probably because small amplitude MUAPs are masked by the large amplitude MUAPs. The potential value of these parameters in automated IP analysis is discussed.
我们定义了肌电图(EMG)干扰模式(IP)的三个新特征:活性、百分位数上限幅度(UCA)和小段数量(NSS)。这些参数是在通过将同心针肌电图电极记录的运动单位动作电位(MUAP)相加构建的模拟IP中测量的。活性随MUAP放电次数线性增加,达到其理论最大值的约80%。UCA与IP中最大MUAP的峰峰值幅度和平均段幅度密切相关,且不依赖于最大MUAP的放电率。我们推断UCA定义了IP中所含MUAP峰峰值幅度的上限。NSS随MUAP放电次数增加,但在较高的MUAP放电率下达到恒定值,可能是因为小幅度MUAP被大幅度MUAP掩盖。讨论了这些参数在自动IP分析中的潜在价值。