Skip to main content

Data Processing in Chronobiological Studies

  • Chapter

Abstract

Observations of plants and animals show that their activities are time dependent. Measurements of physiological quantities as a function of time often display the presence of more or less repetitive patterns in living organisms, including man. Such observations raise many questions. Is a pattern, i. e. a rhythm, present or do we only observe random fluctuations? How are we able to characterize what we see? Precise answers to these questions require the choice of procedures, giving us pertinent parameters, to qualify and quantify our observations.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hecquet B, De Prins J (1992) Statistical procedures in chro-nobiology. Scope and application. A critical survey. Chrono-biol Int (in press)

    Google Scholar 

  2. De Prins J, Cornélissen G, Malbecq W (1986) Statistical procedures in chronobiology and chronopharmacology. Annu Rev Chronopharmacol 2: 27–141

    Google Scholar 

  3. Papoulis A (1977) Signal analysis. McGraw-Hill, New York

    Google Scholar 

  4. De Prins J, Lechien JP (1976) Remarques sur la pratique de Pechantillonnage et de l’analyse spectrale. Bull CI Sci Acad Belg 62: 620–645

    Google Scholar 

  5. Cleveland J, McGill ME, McGill R (1988) The shape parameter of a two-variable graph. JASA 83: 289–300

    Google Scholar 

  6. Cleveland J, McGill R (1985) Graphical perception and graphical methods for analysing scientific data. Science 229: 828–833

    Article  PubMed  CAS  Google Scholar 

  7. Kronsjo LI (1979) Algorithms: their complexity and efficiency. Wiley, New York

    Google Scholar 

  8. Stoer J, Bulirsch R (1980) Introduction to numerical analysis. Springer, Berlin Heidelberg New York

    Google Scholar 

  9. Aris R (1978) Mathematical modelling techniques. Pitman, London

    Google Scholar 

  10. Bloomfield (1976) Fourier analysis of time series: an introduction. Wiley, New York

    Google Scholar 

  11. Schwartz M, Shaw L (1975) Signal processing: discrete spectral analysis, detection and estimation. McGraw-Hill, New York

    Google Scholar 

  12. Croquette V (1982) Déterminisme et chaos. Pour la Science 62: 62–77

    Google Scholar 

  13. Glass L, Mackey MC (1988) From clocks to chaos. The rhythms of life. Princeton University Press, Princeton

    Google Scholar 

  14. Chatfield C (1975) The analysis of time series. Theory and practice. Chapman and Hall, London

    Google Scholar 

  15. Press WH, Flannery BP, Teukolsky SA, Vetterling WV (1986) Numerical recipes. Cambridge University Press, Cambridge

    Google Scholar 

  16. Sokal RR, Rohlf RG (1981) Biometry, 2nd ed. Freeman, San Francisco

    Google Scholar 

  17. Rey W (1978) Robust statistical methods. Springer, Berlin Heidelberg New York

    Google Scholar 

  18. Diaconis P, Efron B (1983) Méthodes de calculs statistiques intensifs sur ordinateurs. Pour la Science 69: 46–58. English version in Scientific American. 96–108. May 1983

    Google Scholar 

  19. Efron B (1982) The jackknife, the bootstrap and other resampling plans. CBM-SNSF Regional Conference series in applied mathematics SIAM, Philadelphia

    Book  Google Scholar 

  20. Malbecq W, De Prins J (1981) Applications of maximum entropy methods to cosinor analysis. J Interdiscip Cycle Res 12: 97–107

    Article  Google Scholar 

  21. Blackman RB, Tukey JW (1958) The measurement of power spectra. Dover, New York

    Google Scholar 

  22. Burgess JC (1975) On digital spectrum analysis of periodic signals. Acoust Soc Am 58: 556–567

    Article  Google Scholar 

  23. Granger CWJ (1964) Spectral analysis of economic time series. Princeton University Press, Princeton

    Google Scholar 

  24. Bogner RE, Constantinides AG (eds) (1975) Introduction to digital filtering. Wiley, London

    Google Scholar 

  25. Lee YH, Kassam SA (1985) Generalized median filtering and related nonlinear filtering techniques. IEEE Trans Acoustics Speech Signal Processing 33: 672–683

    Article  Google Scholar 

  26. Bozic SM (1979) Digital and Kalman filtering. Arnold, London

    Google Scholar 

  27. Sorenson HW (1970) Least-squares estimation from Gauss to Kalman. IEEE Spectrum 7: 63–68

    Article  Google Scholar 

  28. De Prins J, Malbecq W (1984) Signal averaging for the analysis of irregularly spaced data. J Interdiscip Cycle Res 15: 179–188

    Article  Google Scholar 

  29. De Prins J, Cornélissen G (1979) Complex demodulation and double demodulation. Bull CI Acad Belg 65: 445–55

    Google Scholar 

  30. Bingham C, Arbogast B, Cornélissen G, Lee JK, Halberg F (1982) Inferential statistical methods for estimating and comparing cosinor parameters. Chronobiologia 9: 397–439

    PubMed  CAS  Google Scholar 

  31. Childer DG (ed) (1978) Modern spectrum analysis. IEEE, New York

    Google Scholar 

  32. Ulrych TJ, Bishop TN (1975) Maximum entropy spectral analysis and autoregressive decomposition. Rev Geophys Space Phys 13:183–200

    Article  Google Scholar 

  33. Gutowski PR, Robinson EA, Treitel S (1978) Spectral analysis estimation: fact or fiction. IEEE G.E. 16: 80–84

    Article  Google Scholar 

  34. Losee J (1980) A historical introduction to the philosophy of science. Oxford University Press, Oxford

    Google Scholar 

  35. Bstinning E (1973) The physiological clock. Springer, Berlin Heidelberg New York

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

De Prins, J., Hecquet, B. (1992). Data Processing in Chronobiological Studies. In: Touitou, Y., Haus, E. (eds) Biologic Rhythms in Clinical and Laboratory Medicine. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78734-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-78734-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78736-2

  • Online ISBN: 978-3-642-78734-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics