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在生物信号分析过程中,信号平均方法对于低幅电势的复现是种经典的方法。这种基于参考波或刺激与隐藏在噪声中的电势的时间关系的技术能极大地提高信噪比(SNR)。尤其是对于心电信号的平均,可使得对于心电微电势的无创性探测达到高分辨率的分析水平。通过相关平均技术方法进行准确地信号评测,需要具有暂态的补偿方法。一种已知的低通滤波方法,当出现补偿误差时,其作用大打折扣。这一点在高分辨率ECG分析中,对于低幅高频电势的评测至关重要。本文对于三种补偿方法的性能进行了比较研究。这三种补偿法是:双重幅值方法,一种新的基于标
In the process of biological signal analysis, signal averaging method is a classic method for the reproduction of low amplitude potential. This technique based on the reference wave or the temporal relationship between the stimulus and the potential hidden in noise can greatly increase the signal-to-noise ratio (SNR). Especially for averaging ECG signals, high-resolution analysis can be achieved with noninvasive detection of ECG micropotentials. Accurate signal evaluation by the relevant averaging technique requires a method of compensation for the transient. A known low-pass filtering method greatly reduces the effect of compensation errors. This is of crucial importance in the evaluation of low-amplitude high-frequency potentials in high-resolution ECG analysis. This paper compares the performance of the three compensation methods. The three compensation methods are: Double Magnitude Method, a new based on the standard