Hausmanowa-Petrusewicz I
J Neurol. 1986 Apr;233(2):77-82. doi: 10.1007/BF00313851.
The author evaluates the application of the Polish minicomputer Analyser of Noise of Periodic Signals (ANOPS) in practical electromyography (EMG) and compares the diagnostic yield of ANOPS with that of manual quantitative EMG. The advantages of ANOPS--at least in the past--include speed, large samples, new data, reduced examiner bias, quantified evaluation of maximal effort record and online recording. The most important limitations of ANOPS are absence of complex potentials due to distortion of signals, loss of phase evaluation, and lack of comparability of amplitude with other methods. ANOPS is compared with other automated methods applied to evaluation of interference pattern and parameters of single motor unit potentials (MUPs). Most of the latter are based on pattern recognition. ANOPS does not meet all of the criteria which an automatic method should meet to be accepted in EMG practice. The most important problem is the distortion of properties of the EMG signal. Further search for computer-aided EMG methods and their careful testing in practice are necessary.
作者评估了波兰小型计算机周期性信号噪声分析仪（ANOPS）在实际肌电图（EMG）中的应用，并将ANOPS的诊断效果与手动定量肌电图的诊断效果进行了比较。ANOPS的优点——至少在过去——包括速度快、样本量大、能提供新数据、减少检查者偏差、对最大用力记录进行量化评估以及在线记录。ANOPS最重要的局限性在于信号失真导致复合电位缺失、相位评估丢失以及与其他方法相比幅度缺乏可比性。将ANOPS与应用于评估干扰模式和单个运动单位电位（MUP）参数的其他自动化方法进行了比较。后者大多基于模式识别。ANOPS并不满足肌电图实践中被接受的自动方法应满足的所有标准。最重要的问题是肌电图信号特性的失真。有必要进一步寻找计算机辅助肌电图方法并在实践中对其进行仔细测试。
