视觉诱发电位波形的自动判别分析及其临床应用

计算诱发电位波形第一至第六次谐波的幅度和相位，把这12个参数作为判别分析的自变量.用32只正常眼、31只弱视眼和30只球后视神经炎患眼的诱发电位波形数据建立判别分析系统，再用另外32只正常眼、35只弱视眼和30只球后视神经炎患眼的诱发电位波形数据检验该判别分析系统的判别效果.

Automatic Discriminatory Analysis of Waveforms of Visual Evoked Potential and Its Clinical Application

The amplitudes and the phases of first to sixth harmonics of P-VEP waveforms were calculated, thus 12 parameters of the P-VEP waveform were obtained for the discriminatory analysis. The P-VEP waveforms of thirty-two normal eyes, thirty-one amblyopic eyes and thirty eyes with retrobulbar neuritis (RBN) were used to establish the discriminatory system. In the test of the discriminatory system, thirty of the thirty-two normal P-VEP waveforms were classified into normal group, thirty-four of the thirty-five amblyopic P-VEP waveforms were classified into amblyopic group, and twenty-eight of thirty RBN P-VEP waveforms were classified into RBN group.