Skip to main content
Log in

Automatic detection of the topographical distribution of EEG rhythms based on an iterative adjustment of the averaged reference potential

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Electroencephalogram (EEG) interpretation is important for the investigation of brain diseases. In this study, an automatic technique was developed to detect the topographical distribution of EEG rhythms. In order to obtain the topographical distribution, the amplitude of the EEG rhythm was analyzed based on the referential derivation where the reference potential was adjusted iteratively. The result of the automatic detection of the topographical distribution was helpful in highlighting the EEG rhythms of interest for automatic EEG interpretation. The technique developed has application significance for real clinics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Kiloh LG., McComas AJ, Osselton JW (1981) Clinical electroencephalography, 4th edn. Butterworth, London

    Google Scholar 

  2. Daly DD, Pedley TA (1990) Current practice of clinical electroencephalography, 2nd edn. Raven Press, New York

    Google Scholar 

  3. Nakamura M, Shibasaki H, Imajoh K, et al (1992) Automatic EEG interpretation: a new computer-assisted system for the automatic integrative interpretation of an awake background EEG. Electroenceph Clin Neurophysiol 82:423–431

    Article  Google Scholar 

  4. Nakamura M, Sugi S, Ikeda A, et al (1996) Clinical application of automatic integrative interpretation of awake background EEG: quantitative interpretation, report making, and detection of artifacts and reduced vigilance level. Electroenceph Clin Neurophysiol 98:103–112

    Article  Google Scholar 

  5. Jasper HH (1958) Ten-twenty electrode system of the international federation. Electroenceph Clin Neurophysiol 10:371–375

    Google Scholar 

  6. Wang B, Wang X, Ikeda A, et al (2011) Automatic drawing of correct topographical distribution of EEG rhythms based on unified suitable reference selection. Proceedings of the 16th International Symposium on Artificial Life and Robotics (AROB 16), Beppu, Oita, Japan, January 27–29, 2011, pp 541–544

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bei Wang.

Additional information

This work was presented in part at the 16th International Symposium on Artificial Life and Robotics, Oita, Japan, January 27–29, 2011

About this article

Cite this article

Wang, B., Wang, X., Ikeda, A. et al. Automatic detection of the topographical distribution of EEG rhythms based on an iterative adjustment of the averaged reference potential. Artif Life Robotics 16, 243–247 (2011). https://doi.org/10.1007/s10015-011-0928-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-011-0928-6

Key words

Navigation