Timmer J, Lauk M, Deuschl G
Department of Physics, University of Freiburg/Breisgau, Germany.
Electroencephalogr Clin Neurophysiol. 1996 Oct;101(5):461-8.
Spectral analysis is applied to tremor time series in basic research and treatment monitoring. The estimation of the spectra from the data is usually done by averaging the squared modulus of the Fourier transform of segments of the data. We discuss drawbacks of this method and propose an alternative procedure to estimate the spectra adaptively based on the data. Thus, the method can be applied to all types of tremor. Applying the theory of spectral estimation, we propose a method to decide whether a spectrum exhibits multiple significant peaks and discuss different approaches to determine the amplitude of the tremor from the spectrum.
在基础研究和治疗监测中，频谱分析应用于震颤时间序列。通常通过对数据段的傅里叶变换的平方模进行平均来从数据中估计频谱。我们讨论了这种方法的缺点，并提出了一种基于数据自适应估计频谱的替代方法。因此，该方法可应用于所有类型的震颤。应用频谱估计理论，我们提出了一种判断频谱是否呈现多个显著峰值的方法，并讨论了从频谱确定震颤幅度的不同方法。
