A comparison of actual and artifactual features based on fractal analyses: Resting-State MEG data

Montri Phothisonothai*, Hiroyuki Tsubomi, Aki Kondo, Yuko Yoshimura, Mitsuru Kikuchi, Yoshio Minabe, Katsumi Watanabe

*この研究の対応する著者

研究成果: Chapter

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of The Eighth International Conference on Bio-Inspired Computing
ホスト出版物のサブタイトルTheories and Applications (BIC-TA), 2013
出版社Springer Verlag
ページ1257-1265
ページ数9
ISBN(印刷版)9783642375019
DOI
出版ステータスPublished - 2013
外部発表はい

出版物シリーズ

名前Advances in Intelligent Systems and Computing
212
ISSN(印刷版)2194-5357

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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