Jervis B W, Coelho M, Morgan G W
Med Biol Eng Comput. 1989 May;27(3):230-8. doi: 10.1007/BF02441479.
The techniques used and the results obtained in a spectral analysis of two specific responses in the human electroencephalogram are presented in this paper. The purposes are to show how the techniques may be applied to the necessarily short lengths of EEG data and to illustrate these techniques and the useful results obtained by relevant examples. The necessary data-processing procedures and precautions for transforming from the time to frequency domain are presented in a tutorial fashion. The importance of augmenting zeros, choice of the most appropriate data window and pretransformation of the data to avoid the combined effects of energy loss and low frequency content biasing caused by windowing is explained. The pros and cons of the tapered-cosine (Tukey) and Kaiser-Bessel windows are illustrated. The usefulness of applying certain statistical tests, which are based on a physical model of the responses, to the harmonic components of the responses is demonstrated. Thus a comparison is made between the features of auditory evoked responses and of the contingent negative variation, and the usefulness of predictive statistical diagnosis in differentiating between subject groups is illustrated by application to normal subjects and Huntington's chorea patients.
本文介绍了在人类脑电图中对两种特定反应进行频谱分析时所使用的技术及获得的结果。目的是展示这些技术如何应用于长度必然较短的脑电图数据,并通过相关示例来说明这些技术以及所获得的有用结果。以教程的形式介绍了从时域转换到频域所需的数据处理程序和注意事项。解释了填充零的重要性、最合适数据窗的选择以及数据的预变换,以避免加窗导致的能量损失和低频成分偏差的综合影响。阐述了锥形余弦(Tukey)窗和凯泽 - 贝塞尔窗的优缺点。证明了将基于反应物理模型的某些统计检验应用于反应谐波成分的有用性。因此,对听觉诱发电位和伴随负变化的特征进行了比较,并通过应用于正常受试者和亨廷顿舞蹈病患者来说明预测性统计诊断在区分受试者组方面的有用性。