一种用于脑干听觉诱发电位自适应处理的增强方法。

An enhanced approach to adaptive processing of the brain stem auditory evoked potential.

作者信息

Qiu W, Chan F H, Lam F K, Poon P W

机构信息

Department of Electrical & Electronic Engineering, University of Hong Kong.

出版信息

Australas Phys Eng Sci Med. 1994 Sep;17(3):131-5.

PMID:7980202

Abstract

The present paper describes an adaptive signal enhancer (ASE) method for improving signal-to-noise ratio (SNR) and also for tracking the variation of brain-stem auditory evoked potential (BAEP). The enhancer has two inputs: a primary input which is the original data to be processed, consisting of signal badly corrupted by noise, and a reference input. A method called dynamic averaging (DA) is introduced to obtain the reference input. The improved reference signal allows closer tracking of evoked potential in each subsequent trial. For BAEP measurement in human, the SNR is typically very low. It requires about 200 ensembles to generate the reference input acceptable for ASE, and tracking of the variation of BAEP can be obtained satisfactorily. Our results show that while ensemble averaging is still needed, the total number of ensembles is greatly reduced. The adaptive method thus reduces the time of measurement for BAEP compared with the conventional method of ensemble averaging.

摘要

本文描述了一种自适应信号增强器（ASE）方法，用于提高信噪比（SNR）以及跟踪脑干听觉诱发电位（BAEP）的变化。该增强器有两个输入：一个主输入，即要处理的原始数据，由被噪声严重污染的信号组成；另一个是参考输入。引入了一种称为动态平均（DA）的方法来获得参考输入。改进后的参考信号允许在每个后续试验中更紧密地跟踪诱发电位。对于人体BAEP测量，SNR通常非常低。需要大约200次叠加才能生成ASE可接受的参考输入，并且可以令人满意地跟踪BAEP的变化。我们的结果表明，虽然仍然需要叠加平均，但叠加的总数大大减少。因此，与传统的叠加平均方法相比，自适应方法减少了BAEP的测量时间。