Spectral analysis of visual evoked potentials

A. Dobrowolski, Marta Okon
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引用次数: 3

Abstract

The paper presents a conception of classification method of Visual Evoked Potentials (VEP) to physiological or pathological case based on power spectral parameters. The authors have verified their concept through a series of numerical experiments performed using a dedicated application. As a result of experiments, the final method provided only 4 cases of wrong classification among training data (6%) and 13 among the testing data (43%).
视觉诱发电位的频谱分析
提出了一种基于功率谱参数的视诱发电位(VEP)生理或病理分类方法。作者通过使用专用应用程序进行的一系列数值实验验证了他们的概念。实验结果表明,最终方法在训练数据中只有4例(6%)分类错误,在测试数据中只有13例(43%)分类错误。
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