正常眼与弱视眼视觉诱发电位波形的自动判别分析

提出了一种用于判别不同类型视觉诱发电位波形的频域判别分析法，并把此法用于正常眼和弱视眼视觉诱发电位波形的判别分析。它计算诱发电波形第一至第六次谐波的幅度和相位，把这十二个参数作为判别分析的自变量，再用31只正常眼和31只弱视眼的诱发电位波形数据建立判别分析系统。临床数据检验表明，本判别分析系统可较准确地判别正常眼和弱视眼的诱发电位波形。

Automatic discriminatory analysis of visually evoked potentials waveforms in normals and amblyopes

We studied presents a method of discriminatory analysis for the discrimination of P-VEP waveforms in frequency domain, and used this analysis in the discrimination of the P-VEP waveforms of normal eyes and amblyopic eyes. In this analysis, the amplitudes and the phases of the first to the sixth harmonics of P-VEP wave forms were calculated, thus 12parameters of the P-VEP waveform were obtained for the discriminatory analysis. The P-VEP waveforms of thirty-one normal eyes and thirty-one anlblyopic eyes were used to establish the discriminatory system. The result of clinical application showed that this method of Discriminatory Analysis was effective for the discrednation between normal and amblyopic P-VEP.