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An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application

  • Zhang Jin
  • Wang Na
  • Kuang Huan
  • Wang Ru-long
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7664)

Abstract

Addressing the problems existing in traditional phase locking value (PLV) calculating method, an improved method based on Hilbert-Huang transform (HHT) is proposed and applied onto a group of hypoxia EEG in this paper. Improved method preprocesses EEG data by ocular artifact elimination and spatial filtering firstly. Then, EEG sub-components withinα frequency band (8-12Hz) are obtained through empirical mode decomposition (EMD) of HHT and chosen as our research object. Finally, Hilbert transform (HT) is applied onto the target EEG sub-components and PLVs among different channels of EEG records are calculated according to the transform result. According to extracted PLVs used as features, normal and hypoxia EEG recorded from 3 subjects can be distinguished effectively. Primarily analysis shows that improved method has potential to be used widely to analyze EEG.

Keywords

EEG phase synchronization phase locking value HHT 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Zhang Jin
    • 1
  • Wang Na
    • 2
  • Kuang Huan
    • 1
  • Wang Ru-long
    • 1
  1. 1.School of SoftwareHunan UniversityChangshaChina
  2. 2.Computer and Information Engineering CollegeInner Mongolia Normal UniversityHohhotChina

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