Cluitmans P J, Jansen J W, Beneken J E
Division of Medical Electrical Engineering, Eindhoven University of Technology, The Netherlands.
J Clin Monit. 1993 Apr;9(2):112-20. doi: 10.1007/BF01616925.
Various artifacts can distort or obscure evoked potential waveforms. The algorithms presented in this paper scan the output electroencephalographic signal for artifacts during evoked potential recordings. If possible, the artifact is removed; if not possible, that sweep is excluded from the averaging process required to raise the evoked response above the background electroencephalographic activity. An artifact is detected if 1 or more amplitude or frequency parameters exceed a threshold. These thresholds have been determined after constructing histograms of the parameters concerned using a number of control evoked potential recordings containing no visually recognizable artifacts. The distributions of the parameters shown by these histograms give information about their normal range. The method improves the quality of the waveform in many cases, but its effectiveness strongly depends on the characteristics of the artifacts concerned.
各种伪迹会扭曲或掩盖诱发电位波形。本文提出的算法在诱发电位记录期间扫描输出的脑电图信号以检测伪迹。如果可能，将去除伪迹；如果不可能，则将该扫描从将诱发电位提高到背景脑电图活动之上所需的平均过程中排除。如果一个或多个幅度或频率参数超过阈值，则检测到伪迹。这些阈值是在使用许多不包含视觉上可识别伪迹的对照诱发电位记录构建相关参数的直方图后确定的。这些直方图显示的参数分布给出了它们正常范围的信息。该方法在许多情况下提高了波形质量，但其有效性很大程度上取决于相关伪迹的特征。
