Complexity analysis of EEG signals evoked by manual acupuncture

Chunxiao Han, Jiang Wang, Yanqiu Che, Hongrui Bian, Bin Deng, Xile Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Manual acupuncture(MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. To explore the effect of MA on brain activities, we design an experiment that acupuncture at Zusanli acupoint with four different frequencies to obtain electroencephalograph (EEG) signals. Neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, so it is necessary for us to introduce nonlinear analysis methods to study EEG signals. Many studies have demonstrated that the complexity of EEG can reflect the states of the brain function, so we adopt two nonlinear time series analysis methods, i.e. Correlation Dimension and Order Patterns Recurrence Determinism, to investigate the effect of MA on the complexity of brain activities. It is found that the complexity of EEG during acupuncture is obviously higher than that before acupuncture, which can prove that MA has effect on the brain.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Pages889-893
Number of pages5
EditionPART 2
DOIs
StatePublished - Sep 30 2011
Event2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011 - Harbin, China
Duration: Jul 25 2011Jul 28 2011

Publication series

NameProceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
NumberPART 2

Other

Other2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
CountryChina
CityHarbin
Period7/25/117/28/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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