Mars N J, Thompson P M, Wilkus R J
Epilepsia. 1985 Jan-Feb;26(1):85-94. doi: 10.1111/j.1528-1157.1985.tb05192.x.
A computer-augmented approach to ictal EEG analysis has been developed. A method for determining both the predictability of one signal from another and the time delay between those two signals--the average amount of mutual information (AAMI) method--has been applied to representative seizures of two patients with focal-onset seizures and one patient with generalized seizures. High AAMI values characterized the EEG derived from the sites of the epileptic foci. AAMI values were high in all sampled brain areas in the patient with generalized seizures. Time delays were not consistent in any subject. The results indicate that the AAMI technique can differentiate focal from generalized seizures and identify the site of seizure onset.
一种用于发作期脑电图分析的计算机辅助方法已被开发出来。一种用于确定一个信号相对于另一个信号的可预测性以及这两个信号之间的时间延迟的方法——平均互信息（AAMI）方法——已被应用于两名局灶性发作患者和一名全身性发作患者的代表性发作。高AAMI值是癫痫病灶部位脑电图的特征。全身性发作患者的所有采样脑区的AAMI值都很高。在任何受试者中，时间延迟都不一致。结果表明，AAMI技术可以区分局灶性发作和全身性发作，并识别发作起始部位。
