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

    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.

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YU Min-Zhong, WU De-Zheng. Automatic Discriminatory Analysis of Waveforms of Visual Evoked Potential and Its Clinical Application[J]. Progress in Biochemistry and Biophysics,1998,25(6):527-532

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History
  • Received:March 26,1998
  • Revised:June 22,1998
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