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听觉诱发电位的最佳(“维纳”)数字滤波:相干估计的应用。

Optimal ('Wiener') digital filtering of auditory evoked potentials: use of coherence estimates.

作者信息

Dobie R A, Wilson M J

机构信息

Otolaryngology-Head and Neck Surgery, University of Washington, Seattle 98195.

出版信息

Electroencephalogr Clin Neurophysiol. 1990 May-Jun;77(3):205-13. doi: 10.1016/0168-5597(90)90039-g.

Abstract

Auditory evoked potentials (AEPs) to 40 Hz clicks and amplitude-modulated 500 Hz tones in human subjects were digitally filtered using an optimal ('Wiener') filter uniquely determined for each AEP. Use of coherence functions to compute coefficients appropriate for filtering grand average AEPs or subsets such as split-half averages is described. Wiener-filtered AEPs correlated better than unfiltered AEPs with split-half replicates and with reference AEPs (obtained with long data collection periods). Visual detection thresholds were lower (more sensitive) for the Wiener-filtered AEPs, but not as low as objectively determined thresholds using coherence values.

摘要

使用为每个听觉诱发电位(AEP)唯一确定的最优(“维纳”)滤波器,对人类受试者中40 Hz点击声和500 Hz调幅音的听觉诱发电位进行数字滤波。描述了使用相干函数来计算适合于对总体平均AEP或诸如分半平均等子集进行滤波的系数。维纳滤波后的AEP与分半重复以及参考AEP(通过长时间数据收集期获得)的相关性比未滤波的AEP更好。对于维纳滤波后的AEP,视觉检测阈值更低(更敏感),但不如使用相干值客观确定的阈值那么低。

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