Pola P, Romagnoli O
Electroencephalogr Clin Neurophysiol. 1979 Feb;46(2):227-31. doi: 10.1016/0013-4694(79)90074-9.
The objectives of this paper are to describe: (i) an algorithm, conventionally called TD (transient discriminator) which allows morphological discrimination among different EEG transients, and (ii) an automated methodology, based upon the proposed algorithm. The completely automated analysis performed by this method can indicate the temporal distribution of a 'family' of spikes, a family being defined by the morphology of a sample spike. Temporal relationships among the detected spikes of the family and other possible epileptic potentials arising from different cerebral zones are automatically defined by an averaging technique. The reliability of the proposed algorithm was investigated comparing the computer detection with the identification performed by 3 electroencephalographers.
（i）一种传统上称为TD（瞬态鉴别器）的算法，它能够对不同的脑电图瞬态进行形态学鉴别；（ii）一种基于该算法的自动化方法。通过这种方法进行的完全自动化分析可以显示一个“尖峰族”的时间分布，一个尖峰族由一个样本尖峰的形态定义。该尖峰族中检测到的尖峰与不同脑区产生的其他可能的癫痫电位之间的时间关系通过平均技术自动确定。通过将计算机检测结果与3位脑电图专家的识别结果进行比较，研究了所提算法的可靠性。
