Pellegrini A, Testa G, Dossi R C, Ermani M
Istituto di Clinica delle Malattie Nervose e Mentali, Università, Padova.
Riv Neurol. 1988 Sep-Oct;58(5):216-21.
A computerized system for automatic recognition of spike and wave discharges (SWDs), recorded by ambulatory EEG, is described. Four parameters were sequentially considered for detecting SWDs: amplitude, frequency, rhythmicity and second derivative of the EEG epochs to be evaluated. With this system the computer was able to recognize in 20 patients 95% +/- 4.7 of SWDs visually detected, while the percentage of the SWDs as compared with the total number of "discharges" found by the computer was 82.4% +/- 15.5.
本文描述了一种用于自动识别动态脑电图记录的棘慢波放电（SWD）的计算机系统。在检测SWD时依次考虑了四个参数：待评估脑电图片段的幅度、频率、节律性和二阶导数。使用该系统，计算机能够识别出20例患者中视觉检测到的SWD的95%±4.7%，而与计算机发现的“放电”总数相比，SWD的百分比为82.4%±15.5%。
