Nishida S, Nakamura M, Shibasaki H
Department of Electrical Engineering, Saga University, Japan.
J Biomed Eng. 1993 May;15(3):257-62. doi: 10.1016/0141-5425(93)90124-h.
Evoked potentials (EPs) in response to stimuli are recorded from a human scalp contaminated with noise. To improve the signal-to-noise ratio, averaging methods have been widely used for the recorded data. However, when the waveforms of EP for each stimulus are not identical, the average waveform of the EP deteriorates. Variation of the EP waveform to each stimulus itself is important information for the EP. In this paper, a recording method for single somatosensory evoked potential (SEP) waveform is proposed, in which three kinds of band-pass filters were selectively used during three specific time sectors for each interstimulus interval. For the late section of the interval, an EEG waveform prediction method was applied to eliminate contaminated alpha rhythm components. By using the proposed method, we were successful in detecting the single SEP waveform.
从受噪声污染的人体头皮记录对刺激作出反应的诱发电位(EP)。为了提高信噪比,平均方法已被广泛用于记录的数据。然而,当每个刺激的EP波形不恒定时,EP的平均波形会变差。EP波形对每个刺激本身的变化是EP的重要信息。本文提出了一种单体感诱发电位(SEP)波形的记录方法,其中在每个刺激间隔的三个特定时间段内选择性地使用三种带通滤波器。对于间隔的后期,应用脑电图波形预测方法来消除受污染的α节律成分。通过使用所提出的方法,我们成功地检测到了单个SEP波形。