A Comparison of Actual and Artifactual Features based on Fractal Analyses: Resting-State MEG Data.
A Comparison of Actual and Artifactual Features based on Fractal Analyses: Resting-State MEG Data.
复制标题
基于分形分析的实际特征和人工特征的比较：静息态 MEG 数据。
DOI：
10.1007/978-3-642-37502-6_146
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
K.
中科院分区：
文献类型：
--
作者：
Phothisonothai;M.;Tsubomi;H.;Kondo;A.;Kikuchi;M.;Yoshimura;Y.;Minabe;Y.;& Watanabe;K.
Future standardized system for distinguishing actual and artifactual magnetoencephalogram (MEG) data is an essential tool. In this paper, we proposed the quantitative parameters based on fractal dimension (FD) analyses in which the FD may convey different features before and after artifact removal. The six FD algorithms based on time-series computation, namely, box-counting method (BCM), variance fractal dimension (VFD), Higuchi’s method (HM), Kazt’s method (KM), detrended fluctuation analysis (DFA), and modified zero-crossing rate (MZCR) were compared. These approaches measure nonlinear-behavioral responses in the resting-state MEG data. Experimental results showed that the FD value of actual MEG was increased statistically in comparison with the artifactual MEG. The DFA and the HM present a best performance for analyzing simulated data and resting-state MEG data, respectively.
