Lopes da Silva F H, van Hulten K, Lommen J G, Storm van Leeuwen W, van Veelen C W, Vliegenthart W
Electroencephalogr Clin Neurophysiol. 1977 Jul;43(1):1-13. doi: 10.1016/0013-4694(77)90189-4.
A new method of automatic EEG analysis (ASD or automatic non-stationarity detection) derived from a parametric EEG model (autoregressive filter model) and based on inverse filtering, has been applied to scalp and subdural EEGs of epileptic patients. By this method it was possible to detect the occurrence of transient non-stationarities such as paroxysmal patterns of activity (spikes, spike-and-waves) characteristic of inter-ictal EEGs. The ASD has been implemented in a general purpose digital computer. The method allows: (a) statistical evaluation of paroxysmal patterns; (b) multi-channel analysis, where the interrelationships of different derivations are quantified and displayed by means of a clinically useful spatial map. The application of the ASD method to scalp and subdural EEGs, simultaneously recorded, has revealed that a number of transient non-stationarities detected in the scalp by the program yet not by visual inspection, coincide with clear paroxysmal patterns in subdural derivations. In this way conventional definitions of characteristic paroxysmal patterns at the scalp are put in question. Identical conclusions regarding the localization of an epileptogenic zone in 4 patients were obtained either using the conventional methods of recording electro-clinical seizures in EEGs of long duration or applying the ASD method to short EEG epochs (100 sec long, at most).
一种源自参数化脑电图模型（自回归滤波器模型）并基于逆滤波的脑电图自动分析新方法（ASD 或自动非平稳性检测），已应用于癫痫患者的头皮脑电图和硬膜下脑电图。通过这种方法，可以检测到瞬态非平稳性的发生，例如发作间期脑电图特征性的阵发性活动模式（棘波、棘慢波）。ASD 已在通用数字计算机上实现。该方法允许：（a）对阵发性模式进行统计评估；（b）多通道分析，其中不同导联的相互关系通过临床有用的空间图进行量化和显示。将 ASD 方法应用于同时记录的头皮脑电图和硬膜下脑电图，结果表明，该程序在头皮上检测到的一些瞬态非平稳性，通过目视检查未检测到，与硬膜下导联中明显的阵发性模式一致。这样一来，头皮上特征性阵发性模式的传统定义就受到了质疑。使用长时间脑电图记录电临床发作的传统方法，或者将 ASD 方法应用于短脑电图片段（最长 100 秒），在 4 名患者中获得了关于癫痫源区定位的相同结论。
