Albrecht V, Louvar B
Physiol Bohemoslov. 1984;33(2):195-204.
There are many different techniques of estimating evoked EEG activity. Each construction of an estimator depends on the model of the process generating the evoked activity. In this paper a model is proposed in which the evoked activity is a transient signal described by the so-called uniformly modulated stochastic process. The usual supposition, that the evoked activity does not depend on the background activity is replaced by the conditional independence of the spontaneous prestimulation and evoked activities. A linear filter with a time varying frequency transfer function is used to construct the estimator of the evoked activity. A statistical relationship between the spontaneous prestimulation and the background activities is considered and the single evoked activity estimator is proposed.
有许多不同的技术可用于估计诱发脑电图活动。每种估计器的构建都取决于产生诱发活动的过程模型。本文提出了一种模型，其中诱发活动是由所谓的均匀调制随机过程描述的瞬态信号。通常认为诱发活动不依赖于背景活动的假设被自发预刺激和诱发活动的条件独立性所取代。使用具有时变频率传递函数的线性滤波器来构建诱发活动的估计器。考虑了自发预刺激与背景活动之间的统计关系，并提出了单一诱发活动估计器。
