Spectral Plots

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter

Abstract

In clinical research times series often show many peaks and irregular spaces.

Keywords

Spectral Density Spectral Density Function Autocorrelation Coefficient Autocorrelation Analysis Significant Seasonality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Cleophas TJ, Zwinderman AH (2012) Seasonality assessments. In: Cleophas TJ, Zwinderman AH (eds) Machine learning in medicine. Springer, Heidelberg, pp 113–126Google Scholar
  2. 2.
    Schuster A (1898) On the investigation of hidden periodicities with application to a supposed 26 day period of meteorological phenomena. Terr Magnet 3:13–41CrossRefGoogle Scholar
  3. 3.
    Box G, Jenkins G (1970) Time series analysis: forecasting and control. Holden-Day, San FranciscoGoogle Scholar
  4. 4.
    SPSS Statistical Software (2013) www.spss.com. 17 July 2013
  5. 5.
    Kramarenko A, Tan U (2002) Validity of spectral analysis of evoked potentials in brain research. Int J Neurosci 112:489–499PubMedCrossRefGoogle Scholar
  6. 6.
    Sanders P, Berenfeld O, Hocini M, Jais P, Vaidyanathan R, Hsu L, Garrigue S, Takahashi Y, Rotter M, Sacher F, Scavee C, Ploutz R, Jalife J, Haissaguerre M (2005) Spectral analysis identifies sites of high frequency activity maintaining atrial fibrillation in humans. Circulation 112:789–797PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media Dordrecht 2013

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department MedicineAlbert Schweitzer HospitalSliedrechtThe Netherlands
  2. 2.Department Biostatistics and EpidemiologyAcademic Medical CenterAmsterdamThe Netherlands

Personalised recommendations