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

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
Pages1257-1265
Number of pages9
Volume212
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameAdvances in Intelligent Systems and Computing
Volume212
ISSN (Print)21945357

Fingerprint

Fractal dimension
Fractals
Time series

Keywords

  • Artifact removal
  • Complexity measure
  • Fractal dimension
  • MEG
  • Nonlinear analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

Phothisonothai, M., Tsubomi, H., Kondo, A., Yoshimura, Y., Kikuchi, M., Minabe, Y., & Watanabe, K. (2013). A comparison of actual and artifactual features based on fractal analyses: Resting-State MEG data. In Advances in Intelligent Systems and Computing (Vol. 212, pp. 1257-1265). (Advances in Intelligent Systems and Computing; Vol. 212). https://doi.org/10.1007/978-3-642-37502-6_146

A comparison of actual and artifactual features based on fractal analyses : Resting-State MEG data. / Phothisonothai, Montri; Tsubomi, Hiroyuki; Kondo, Aki; Yoshimura, Yuko; Kikuchi, Mitsuru; Minabe, Yoshio; Watanabe, Katsumi.

Advances in Intelligent Systems and Computing. Vol. 212 2013. p. 1257-1265 (Advances in Intelligent Systems and Computing; Vol. 212).

Research output: Chapter in Book/Report/Conference proceedingChapter

Phothisonothai, M, Tsubomi, H, Kondo, A, Yoshimura, Y, Kikuchi, M, Minabe, Y & Watanabe, K 2013, A comparison of actual and artifactual features based on fractal analyses: Resting-State MEG data. in Advances in Intelligent Systems and Computing. vol. 212, Advances in Intelligent Systems and Computing, vol. 212, pp. 1257-1265. https://doi.org/10.1007/978-3-642-37502-6_146
Phothisonothai M, Tsubomi H, Kondo A, Yoshimura Y, Kikuchi M, Minabe Y et al. A comparison of actual and artifactual features based on fractal analyses: Resting-State MEG data. In Advances in Intelligent Systems and Computing. Vol. 212. 2013. p. 1257-1265. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-642-37502-6_146
Phothisonothai, Montri ; Tsubomi, Hiroyuki ; Kondo, Aki ; Yoshimura, Yuko ; Kikuchi, Mitsuru ; Minabe, Yoshio ; Watanabe, Katsumi. / A comparison of actual and artifactual features based on fractal analyses : Resting-State MEG data. Advances in Intelligent Systems and Computing. Vol. 212 2013. pp. 1257-1265 (Advances in Intelligent Systems and Computing).
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