Multidimensional Directed Phase Analysis for Basic Rhythm of EEG

Osamu Sakata, Tsuyoshi Shiina, Yoichi Saito

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, multidimensional directed phase analysis is proposed as a means of causality analysis for multiple time series, is proposed. The multidimensional directed phase is a phase with causality, which is associated with multidimensional directed coherence. Using multidimensional directed phase analysis, direction and time of a signal flow among multidimensional time series can be estimated. In two simulations, artificial time series have been analyzed by the new method to confirm its characteristics. In first simulation, accuracy of estimation of signal flow time has been investigated. Second, a complex signal flow pattern has been analyzed. Next, the multidimensional directed phase analysis and the multidimensional directed coherence analysis have been applied to EEG data of normal volunteer. As a result, we have got information differ from common learning which is the difference between the phase of a frontal alpha waves and an occipital is π.

Original languageEnglish
Pages (from-to)1753-1758
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number9
Publication statusPublished - 2004 Jan
Externally publishedYes


  • alpha wave
  • causality analysis
  • EEG
  • multidimensional directed coherence
  • multidimensional directed phase

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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