Improved procedure of complex demodulation and an application to frequency analysis of sleep spindles in EEG

  • Y. -L. Hao
  • Y. Ueda
  • N. Ishii
Computing and Data Processing

Abstract

Complex demodulation is a local version of harmonic analysis that enables the amplitude and phase of particular frequency components of a time series to be described as functions of time. The paper presents a computational procedure involving complex demodulation with interpolation of data in the frequency domain. A computational procedure comprising repeated use of complex demodulation is also presented. This is used to estimate the optimum choice of the demodulating frequency which considerably influences the measurement of the instantaneous amplitude and phase of the underlying process. The usefulness of this procedure is verified by computer simulation. An example of applying this procedure to the estimation of the centre and the instantaneous frequencies of sleep spindles in the EEG (electroencephalogram) is presented. By using the procedure developed here, several partially overlapping sleep spindles are detected and correctly separated. The paper also presents an approach to separating and analysing transient time series (such as overlapping sleep spindles) by using an accurate frequency processing technique.

Keywords

Complex demodulation Demodulating frequency Electroencephalogram Fast Fourier transform Instantaneous frequency Narrowband signal Partially overlapping sleep spindles Spectral interpolation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Azumi, K., Shirakawa, S. andTakahashi, S. (1975) Periodicity of sleep spindle appearance in normal adults. In:Sleep research.Chase, M. H., Mitler, M. M. andWalter, P. L. (Eds.), BIS/BRI, UCLA, Los Angeles, 4, 262.Google Scholar
  2. Childers, D. G. andPao, M. T. (1972) Complex demodulation for transient wavelet detection and extraction.IEEE Trans.AU-20, 295–308.Google Scholar
  3. Franks, L. (1969)Signal theory. Prentice-Hall, New York.MATHGoogle Scholar
  4. Goodman, N. R. (1960) Measuring amplitude and phase.J. Franklin Inst.,270, 437–450.MathSciNetCrossRefGoogle Scholar
  5. Gupta, S. C. (1975) Phase-locked loops.Proc. IEEE,63, (2), 291–306.CrossRefGoogle Scholar
  6. Hamming, R. W. (1977)Digital filters. Prentice-Hall Inc.Google Scholar
  7. Helstrom, C. W. (1960)Statistical theory of signal detection. Pergamon Press, Chap. 1, 1–17.Google Scholar
  8. Hino, M. (1977)Spectral analysis, Asakura Shoten Co., Chap. 12, 183–236.Google Scholar
  9. Jankel, W. R. andNiedermeyer, E. (1985) Sleep spindles.J. Clin. Neurophysiol.,2, (1), 1–35.CrossRefGoogle Scholar
  10. Johnson, L. C., Hanson, K. andBickford, R. G. (1976) Effect of flurazepam on sleep spindles and K-complexes.Electroenceph. Clin. Neurophysiol.,40, 67–77.CrossRefGoogle Scholar
  11. Ktonas, P. Y. andPapp, N. (1980) Instantaneous envelope and phase extraction from real signals: theory, implementation, and an application to EEG analysis.Signal Processing,2, 373–385.CrossRefGoogle Scholar
  12. Kumar, A. (1975) The complex demodulation method for detection of α-waves and sleep spindles of the human EEG in real time. Proc. Int. Conf. on Adv. Signal Processing Techn., Lausanne, 355–361.Google Scholar
  13. Oppenheim, A. V. andSchafer, R. W. (1975)Digital signal processing. Prentice-Hall Inc.Google Scholar
  14. Principe, J. C. andSmith, J. R. (1982) Spindle characteristics as a function of age.Sleep,5, (1), 73–84.Google Scholar
  15. Rechtschaffen, A. andKales, A. (1968) A manual of standardized terminology, techniques and scorings system for sleep stages in human subjects. US Gobernment Printing Office, Washington.Google Scholar
  16. Sarkady, H. A., Clark, R. R. andWilliams, R. (1976) Computer analysis techniques for phonocardiogram diagnosis.Comput. & Biomed. Res.,9, 349–363.CrossRefGoogle Scholar
  17. Shannon, C. E. andWeaver, W. (1949)The mathematical theory of communication. The University of Illinois Press.Google Scholar
  18. Thomas, J. B. (1969)An introduction to statistical communication theory. Wiley, New York.MATHGoogle Scholar
  19. Walter, D. O. (1968) The method of complex demodulation.Electroenceph. Clin. Neurophysiol., Suppl.27, 53–57.Google Scholar
  20. Williams, R. L., Karacan, I. andHursch, C. J. (1974)Electroencephalography (EEG) of human sleep: clinical applications. Wiley, New York.Google Scholar

Copyright information

© IFMBE 1992

Authors and Affiliations

  • Y. -L. Hao
    • 1
  • Y. Ueda
    • 1
  • N. Ishii
    • 1
  1. 1.Department of Electrical and Computer EngineeringNagoya Institute of TechnologyNagoyaJapan

Personalised recommendations