利用最大似然估计对脑电图信号进行自回归谱分析。

AR spectral analysis of EEG signals by using maximum likelihood estimation.

作者信息

Güler I, Kiymik M K, Akin M, Alkan A

机构信息

Department of Electronics-Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey.

出版信息

Comput Biol Med. 2001 Nov;31(6):441-50. doi: 10.1016/s0010-4825(01)00022-1.

DOI:10.1016/s0010-4825(01)00022-1

PMID:11604150

Abstract

In this study, EEG signals were analyzed using autoregressive (AR) method. Parameters in AR method were realized by using maximum likelihood estimation (MLE). Results were compared with fast Fourier transform (FFT) method. It is observed that AR method gives better results in the analysis of EEG signals. On the other hand, the results have also showed that AR method can also be used for some other researches and diagnosis of diseases.

摘要

在本研究中，使用自回归（AR）方法分析脑电图（EEG）信号。通过最大似然估计（MLE）实现AR方法中的参数。将结果与快速傅里叶变换（FFT）方法进行比较。观察到AR方法在EEG信号分析中给出了更好的结果。另一方面，结果还表明AR方法也可用于一些其他研究和疾病诊断。