Features extraction from EEG signals induced by acupuncture based on the complexity analysis

Hong Rui Bian, Jiang Wang, Chun Xiao Han, Bin Deng, Xi Le Wei, Yanqiu Che

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

To explore the effects of acupuncture stimulation on brain activities, an experiment is designed that acupunctures at Zusanli point of the right leg are performed at four different frequencies to obtain electroencephalograph (EEG) signals. For the first time the complexity parameter of EEG is extracted by order recurrence plot and correlation dimension method, which reflects the functional state of the brain under acupuncture. The effects of acupuncture on the functional region of brain and correlation among different acupuncture frequencies and the complexity of EEG are investigated. The results show that the complexity of EEG during acupuncture is higher than that before acupuncture and especially during acupuncture at a frequency of 100 times/min. Furthermore, the determinism (DET) extracted from EEG signals of electrodes FP2, F7 and T3 can be used as a characteristic parameter of distinction between the state during acupuncture and the state before acupuncture.

Original languageEnglish (US)
Article number118701
JournalWuli Xuebao/Acta Physica Sinica
Volume60
Issue number11
StatePublished - Nov 1 2011

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pattern recognition
brain
stimulation
plots
electrodes

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Bian, Hong Rui ; Wang, Jiang ; Han, Chun Xiao ; Deng, Bin ; Wei, Xi Le ; Che, Yanqiu. / Features extraction from EEG signals induced by acupuncture based on the complexity analysis. In: Wuli Xuebao/Acta Physica Sinica. 2011 ; Vol. 60, No. 11.
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Features extraction from EEG signals induced by acupuncture based on the complexity analysis. / Bian, Hong Rui; Wang, Jiang; Han, Chun Xiao; Deng, Bin; Wei, Xi Le; Che, Yanqiu.

In: Wuli Xuebao/Acta Physica Sinica, Vol. 60, No. 11, 118701, 01.11.2011.

Research output: Contribution to journalArticle

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