Quantification of hormone pulsatility via an approximate entropy algorithm.

  title={Quantification of hormone pulsatility via an approximate entropy algorithm.},
  author={Steven M. Pincus and David Lawrence Keefe},
  journal={The American journal of physiology},
  volume={262 5 Pt 1},
Approximate entropy (ApEn) is a recently developed formula to quantify the amount of regularity in data. We examine the potential applicability of ApEn to clinical endocrinology to quantify pulsatility in hormone secretion data. We evaluate the role of ApEn as a complementary statistic to widely employed pulse-detection algorithms, represented herein by ULTRA, via the analysis of two different classes of models that generate episodic data. We conclude that ApEn is able to discern subtle system… CONTINUE READING

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