EEG Correlation Analysis Under the Condition of +Gz Accelerations

  • Yifeng Li
  • Tao Zhang
  • Bei Wang
  • Lue Deng
  • Masatoshi Nakamura
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 223)


In this research, Electroencephalogram (EEG) data under the condition of +Gz accelerations were recorded and its correlation analysis was done. The correlation change feathers were found for different loads through respective correlation analysis including auto-correlation and cross-correlation analysis for 16 derivation EEG data. The results show that, auto-correlation and cross-correlation are gradually decreased with time lag increasing. Correlation diagrams show that the first peak after zero lags appeared as main peak which responses to relatively stronger correlation. The relationship between correlation and different action of +Gz loads from analysis of a lot of EEG data indicates that EEG correlation is greatly affected by G loads.


EEG Correlation analysis Auto-correlation Cross-correlation 



The research is supported by the fund of State Key Laboratory of Digital Manufacturing Equipment and Technology of China. (Project number: DMETKF2012008).


  1. 1.
    Lewis NG (1988) EEG indexes of G-induced loss of consciousness(G-Loc). AGARD Conf Proc 432:195–265Google Scholar
  2. 2.
    Ebersole JS, Pedley TA (2009) Chinese antiepileptic transfer expert group (translator) current practice of clinical electroencephalography. People Hygiene Press, Beijing, pp 134–145Google Scholar
  3. 3.
    Gao JF, Zheng CX, Wang P (2012) Electromyography artifact removal from electroencephalogram in real-time. J Xi An Jiaotong Univ 44(4):114–118Google Scholar
  4. 4.
    Luo ZZ, Cao M (2011) An algorithm to filter artifacts in EEG based on blind source separation of maximum signal noise ratio. Acta Electronica Sinica 39(12):2926–2931Google Scholar
  5. 5.
    Yang BH, Zhu YJ, Zha DF (2011) Research on combination method of EEG signal denoising. Computer Emulation 28(9):390–398Google Scholar
  6. 6.
    Dong J, Du YX, Deng JH (2010) The study of EEG digital signal processing technology. Microcomput Appl 4:58–64Google Scholar
  7. 7.
    Zhang XD (2002) Modern signal processing 2nd edn, vol 1. Tsinghua University Press, Beijing, pp 7–12Google Scholar
  8. 8.
    Poornachandra S, Sasikala B (2012) Digital signal processing 3rd edn, vol 1. Science Press, Beijing, pp 197–326Google Scholar
  9. 9.
    Zhang XD (2011) Signal analysis and processing 1st edn, vol 1. Tsinghua University Press, pp 183–209Google Scholar
  10. 10.
    Browne MK et al (1962) Some observations on the EEG during centrifugal acceleration cerebral Anoxia and the EEG. Proc Marseile Colloguium 1:22–23Google Scholar
  11. 11.
    Frank WR et al (1945) Some neurological sign and symptoms produced by centrifugal force in man. Proc Physiol Soc 10:28–39Google Scholar
  12. 12.
    Ma YB, Wang WW, Wu X (2010) The quantitative and dynamic electroencephalography study in young volunteers consumed moderate dose of alcohol. J Neurosci Mental Health 10(4):338–347Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yifeng Li
    • 1
    • 2
  • Tao Zhang
    • 1
  • Bei Wang
    • 3
  • Lue Deng
    • 2
  • Masatoshi Nakamura
    • 4
  1. 1.Department of Automation, School of Information Science and TechnologyTsinghua UniversityBeijingChina
  2. 2.Air Force Institute of AeromedicineBeijingChina
  3. 3.Department of AutomationEast China University of Science and TechnologyShanghaiChina
  4. 4.Research Institute of Systems ControlSaga UniversitySagaJapan

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