Principe J C, Smith J R
Comput Biol Med. 1982;12(2):87-95. doi: 10.1016/0010-4825(82)90017-8.
A petit mal seizure detector totally implemented in a 16 bit microcomputer and capable of analyzing on-line at least one channel of EEG data is described. The system uses the repetition period of the wave complexes as the primary parameter for the detection and performs well in clinically significant seizures. Besides characterizing the paroxysms in duration and time of occurrence, the system also evaluates on-line the mean values and variances of the detection parameters, yielding more quantitative information about the seizure data than previously described systems.
描述了一种完全在16位微型计算机中实现的小发作癫痫检测器，它能够在线分析至少一个脑电图（EEG）数据通道。该系统将波群的重复周期用作检测的主要参数，并且在具有临床意义的癫痫发作中表现良好。除了表征发作的持续时间和发生时间外，该系统还在线评估检测参数的平均值和方差，比先前描述的系统产生更多关于癫痫发作数据的定量信息。
