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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Jin, Z., Na, W., Huan, K., Ru-long, W. (2012). An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_40
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DOI: https://doi.org/10.1007/978-3-642-34481-7_40
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