Multiscale entropy to distinguish physiologic and synthetic RR time series.

@article{Costa2002MultiscaleET,
  title={Multiscale entropy to distinguish physiologic and synthetic RR time series.},
  author={Madalena Costa and Ary L. Goldberger and C. K. Peng},
  journal={Computers in cardiology},
  year={2002},
  volume={29},
  pages={137-40}
}
We address the challenge of distinguishing physiologic interbeat interval time series from those generated by synthetic algorithms via a newly developed multiscale entropy method. Traditional measures of time series complexity only quantify the degree of regularity on a single time scale. However, many physiologic variables, such as heart rate, fluctuate in a very complex manner and present correlations over multiple time scales. We have proposed a new method to calculate multiscale entropy… CONTINUE READING
Highly Cited
This paper has 373 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
46 Citations
10 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 46 extracted citations

373 Citations

050100'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 373 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 10 references

On the phase space approach to complexity

  • HC Fogedby
  • J Stat Phys 1992;69:411–425
  • 1992
2 Excerpts

Complexity and 1/f noise: a phase space approach

  • YC Zhang
  • J Phys I France
  • 1991
2 Excerpts

Similar Papers

Loading similar papers…